From 2876bd5ec706415cad1b9f86ff33eed112d6b5ce Mon Sep 17 00:00:00 2001 From: ammarcsj <70114795+ammarcsj@users.noreply.github.com> Date: Mon, 22 Jan 2024 12:24:51 +0100 Subject: [PATCH 1/7] add test --- tests/quicktests/test_importing.ipynb | 60 +++++++++++++++++++++++++++ 1 file changed, 60 insertions(+) create mode 100644 tests/quicktests/test_importing.ipynb diff --git a/tests/quicktests/test_importing.ipynb b/tests/quicktests/test_importing.ipynb new file mode 100644 index 0000000..d3a980e --- /dev/null +++ b/tests/quicktests/test_importing.ipynb @@ -0,0 +1,60 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2024-01-22 12:20:28,098 - directlfq.protein_intensity_estimation - INFO - 50 prots total\n", + "2024-01-22 12:20:28,119 - directlfq.protein_intensity_estimation - INFO - using 2 processes\n", + "2024-01-22 12:20:28,140 - directlfq.protein_intensity_estimation - INFO - prot 0\n" + ] + } + ], + "source": [ + "import directlfq.config as config\n", + "import directlfq.normalization as lfqnorm\n", + "import directlfq.protein_intensity_estimation as lfqprot_estimation\n", + "import directlfq.utils as lfqutils\n", + "\n", + "\n", + "INPUT_FILE = \"../../test_data/system_tests/quicktests/diann/shortened_input.tsv.diann_fragion_isotopes_raw.aq_reformat.tsv\"\n", + "\n", + "\n", + "\n", + "input_df = lfqutils.import_data(input_file=INPUT_FILE, input_type_to_use=\"directlfq\", filter_dict={})\n", + "input_df = lfqutils.index_and_log_transform_input_df(input_df)\n", + "input_df = lfqutils.remove_allnan_rows_input_df(input_df)\n", + "\n", + "input_df = lfqnorm.NormalizationManagerSamplesOnSelectedProteins(input_df, num_samples_quadratic=20, selected_proteins_file=None).complete_dataframe\n", + "\n", + "protein_df, ion_df = lfqprot_estimation.estimate_protein_intensities(input_df,min_nonan=1,num_samples_quadratic=20, num_cores = 2)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.0" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 9a110f69519a4674504fc8e4dd9f62e6d1d86019 Mon Sep 17 00:00:00 2001 From: ammarcsj <70114795+ammarcsj@users.noreply.github.com> Date: Wed, 24 Jan 2024 15:42:03 +0100 Subject: [PATCH 2/7] change classifier --- directlfq/__init__.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/directlfq/__init__.py b/directlfq/__init__.py index 568bfb3..33ee896 100644 --- a/directlfq/__init__.py +++ b/directlfq/__init__.py @@ -15,11 +15,11 @@ ] __python_version__ = ">=3.8,<3.10" __classifiers__ = [ - "Development Status :: 1 - Planning", + # "Development Status :: 1 - Planning", # "Development Status :: 2 - Pre-Alpha", # "Development Status :: 3 - Alpha", # "Development Status :: 4 - Beta", - # "Development Status :: 5 - Production/Stable", + "Development Status :: 5 - Production/Stable", # "Development Status :: 6 - Mature", # "Development Status :: 7 - Inactive" "Intended Audience :: Science/Research", From 1d87da992c811868d36ee1315d702ace29631c11 Mon Sep 17 00:00:00 2001 From: ammarcsj <70114795+ammarcsj@users.noreply.github.com> Date: Wed, 24 Jan 2024 15:42:19 +0100 Subject: [PATCH 3/7] remove allprots fix columns --- directlfq/protein_intensity_estimation.py | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/directlfq/protein_intensity_estimation.py b/directlfq/protein_intensity_estimation.py index cac8930..fc50a1e 100644 --- a/directlfq/protein_intensity_estimation.py +++ b/directlfq/protein_intensity_estimation.py @@ -31,18 +31,18 @@ def estimate_protein_intensities(normed_df, min_nonan, num_samples_quadratic, nu allprots = list(normed_df.index.get_level_values(0).unique()) LOGGER.info(f"{len(allprots)} lfq-groups total") - list_of_tuple_w_protein_profiles_and_shifted_peptides = get_list_of_tuple_w_protein_profiles_and_shifted_peptides(allprots, normed_df, num_samples_quadratic, min_nonan, num_cores) - protein_df = get_protein_dataframe_from_list_of_protein_profiles(allprots=allprots, list_of_tuple_w_protein_profiles_and_shifted_peptides=list_of_tuple_w_protein_profiles_and_shifted_peptides, normed_df= normed_df) + list_of_tuple_w_protein_profiles_and_shifted_peptides = get_list_of_tuple_w_protein_profiles_and_shifted_peptides(normed_df, num_samples_quadratic, min_nonan, num_cores) + protein_df = get_protein_dataframe_from_list_of_protein_profiles(list_of_tuple_w_protein_profiles_and_shifted_peptides=list_of_tuple_w_protein_profiles_and_shifted_peptides, normed_df= normed_df) if config.COMPILE_NORMALIZED_ION_TABLE: - ion_df = get_ion_intensity_dataframe_from_list_of_shifted_peptides(list_of_tuple_w_protein_profiles_and_shifted_peptides, allprots) + ion_df = get_ion_intensity_dataframe_from_list_of_shifted_peptides(list_of_tuple_w_protein_profiles_and_shifted_peptides, column_names = normed_df.columns) else: ion_df = None return protein_df, ion_df -def get_list_of_tuple_w_protein_profiles_and_shifted_peptides(allprots, normed_df, num_samples_quadratic, min_nonan, num_cores): - input_specification_tuplelist_idx__df__num_samples_quadratic__min_nonan = get_input_specification_tuplelist_idx__df__num_samples_quadratic__min_nonan(normed_df, allprots, num_samples_quadratic, min_nonan) +def get_list_of_tuple_w_protein_profiles_and_shifted_peptides(normed_df, num_samples_quadratic, min_nonan, num_cores): + input_specification_tuplelist_idx__df__num_samples_quadratic__min_nonan = get_input_specification_tuplelist_idx__df__num_samples_quadratic__min_nonan(normed_df, num_samples_quadratic, min_nonan) if num_cores is not None and num_cores <=1: list_of_tuple_w_protein_profiles_and_shifted_peptides = get_list_with_sequential_processing(input_specification_tuplelist_idx__df__num_samples_quadratic__min_nonan) @@ -51,7 +51,7 @@ def get_list_of_tuple_w_protein_profiles_and_shifted_peptides(allprots, normed_d return list_of_tuple_w_protein_profiles_and_shifted_peptides -def get_input_specification_tuplelist_idx__df__num_samples_quadratic__min_nonan(normed_df, allprots, num_samples_quadratic, min_nonan): +def get_input_specification_tuplelist_idx__df__num_samples_quadratic__min_nonan(normed_df, num_samples_quadratic, min_nonan): list_of_normed_dfs = get_normed_dfs(normed_df) return zip(range(len(list_of_normed_dfs)),list_of_normed_dfs, itertools.repeat(num_samples_quadratic), itertools.repeat(min_nonan)) @@ -197,15 +197,14 @@ def _get_shortened_dataframe(self): -def get_ion_intensity_dataframe_from_list_of_shifted_peptides(list_of_tuple_w_protein_profiles_and_shifted_peptides, allprots): +def get_ion_intensity_dataframe_from_list_of_shifted_peptides(list_of_tuple_w_protein_profiles_and_shifted_peptides, column_names): ion_names = [] ion_vals = [] protein_names = [] - column_names = list_of_tuple_w_protein_profiles_and_shifted_peptides[0][1].columns.tolist() for idx in range(len(list_of_tuple_w_protein_profiles_and_shifted_peptides)): - protein_name = allprots[idx] ion_df = list_of_tuple_w_protein_profiles_and_shifted_peptides[idx][1] - ion_names += ion_df.index.values.tolist() + protein_name = ion_df.index.get_level_values(0)[0] + ion_names += ion_df.index.get_level_values(1).tolist() ion_vals.append(ion_df.to_numpy()) protein_names.extend([protein_name]*len(ion_df.index)) merged_ions = 2**np.concatenate(ion_vals) @@ -229,11 +228,12 @@ def add_protein_name_to_ion_df(ion_df, protein): return ion_df -def get_protein_dataframe_from_list_of_protein_profiles(allprots, list_of_tuple_w_protein_profiles_and_shifted_peptides, normed_df): +def get_protein_dataframe_from_list_of_protein_profiles(list_of_tuple_w_protein_profiles_and_shifted_peptides, normed_df): index_list = [] profile_list = [] list_of_protein_profiles = [x[0] for x in list_of_tuple_w_protein_profiles_and_shifted_peptides] + allprots = [x[1].index.get_level_values(0)[0] for x in list_of_tuple_w_protein_profiles_and_shifted_peptides] for idx in range(len(allprots)): if list_of_protein_profiles[idx] is None: From 74986113927caf06efa0f07c0bcf253d764fbd66 Mon Sep 17 00:00:00 2001 From: ammarcsj <70114795+ammarcsj@users.noreply.github.com> Date: Wed, 24 Jan 2024 15:43:50 +0100 Subject: [PATCH 4/7] rerun tests --- ...n_pipeline_w_different_input_formats.ipynb | 181 ++- tests/quicktests/test_importing.ipynb | 8 +- .../comapare_charite_cohort_diann.ipynb | 22 +- .../compare_largefc_diann_iq.ipynb | 1154 +++++------------ .../compare_largefc_spectronaut_iq.ipynb | 162 +-- 5 files changed, 536 insertions(+), 991 deletions(-) diff --git a/tests/quicktests/run_pipeline_w_different_input_formats.ipynb b/tests/quicktests/run_pipeline_w_different_input_formats.ipynb index 3c30641..658e610 100644 --- a/tests/quicktests/run_pipeline_w_different_input_formats.ipynb +++ b/tests/quicktests/run_pipeline_w_different_input_formats.ipynb @@ -19,52 +19,48 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2024-01-16 18:30:46,103 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", - "2024-01-16 18:30:46,236 - directlfq.utils - INFO - using input type diann_precursors\n", - "2024-01-16 18:30:46,305 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", - "2024-01-16 18:30:46,306 - directlfq.normalization - INFO - to few values for normalization without missing values. Including missing values\n", - "2024-01-16 18:30:47,300 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", - "2024-01-16 18:30:47,301 - directlfq.protein_intensity_estimation - INFO - 46 lfq-objects total\n", - "2024-01-16 18:30:47,315 - directlfq.protein_intensity_estimation - INFO - Split up normed_df into individual lfq-objects\n", - "2024-01-16 18:30:47,373 - directlfq.protein_intensity_estimation - INFO - using 10 processes\n", - "2024-01-16 18:30:47,381 - directlfq.protein_intensity_estimation - INFO - lfq-object 0\n", - "2024-01-16 18:30:47,804 - directlfq.lfq_manager - INFO - Writing results files.\n", - "2024-01-16 18:30:47,816 - directlfq.lfq_manager - INFO - Analysis finished!\n", - "2024-01-16 18:30:47,817 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", - "2024-01-16 18:30:47,881 - directlfq.utils - INFO - using input type diann_peptide_based_on_precursor_ms1_and_ms2\n", - "2024-01-16 18:30:48,019 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", - "2024-01-16 18:30:48,024 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", - "2024-01-16 18:30:48,025 - directlfq.protein_intensity_estimation - INFO - 840 lfq-objects total\n", - "2024-01-16 18:30:48,297 - directlfq.protein_intensity_estimation - INFO - Split up normed_df into individual lfq-objects\n", - "2024-01-16 18:30:48,351 - directlfq.protein_intensity_estimation - INFO - using 10 processes\n", - "2024-01-16 18:30:48,368 - directlfq.protein_intensity_estimation - INFO - lfq-object 0\n", - "2024-01-16 18:30:48,418 - directlfq.protein_intensity_estimation - INFO - lfq-object 100\n", - "2024-01-16 18:30:48,468 - directlfq.protein_intensity_estimation - INFO - lfq-object 200\n", - "2024-01-16 18:30:48,512 - directlfq.protein_intensity_estimation - INFO - lfq-object 300\n", - "2024-01-16 18:30:48,563 - directlfq.protein_intensity_estimation - INFO - lfq-object 400\n", - "2024-01-16 18:30:48,613 - directlfq.protein_intensity_estimation - INFO - lfq-object 500\n", - "2024-01-16 18:30:48,662 - directlfq.protein_intensity_estimation - INFO - lfq-object 600\n", - "2024-01-16 18:30:48,710 - directlfq.protein_intensity_estimation - INFO - lfq-object 700\n", - "2024-01-16 18:30:48,759 - directlfq.protein_intensity_estimation - INFO - lfq-object 800\n", - "2024-01-16 18:30:48,942 - directlfq.lfq_manager - INFO - Writing results files.\n", - "2024-01-16 18:30:48,969 - directlfq.lfq_manager - INFO - Analysis finished!\n", - "2024-01-16 18:30:48,969 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", - "2024-01-16 18:30:49,032 - directlfq.utils - INFO - using input type diann_precursor_ms1_and_ms2\n", - "2024-01-16 18:30:49,144 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", - "2024-01-16 18:30:49,148 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", - "2024-01-16 18:30:49,148 - directlfq.protein_intensity_estimation - INFO - 46 lfq-objects total\n", - "2024-01-16 18:30:49,163 - directlfq.protein_intensity_estimation - INFO - Split up normed_df into individual lfq-objects\n", - "2024-01-16 18:30:49,217 - directlfq.protein_intensity_estimation - INFO - using 10 processes\n", - "2024-01-16 18:30:49,224 - directlfq.protein_intensity_estimation - INFO - lfq-object 0\n", - "2024-01-16 18:30:49,702 - directlfq.lfq_manager - INFO - Writing results files.\n", - "2024-01-16 18:30:49,721 - directlfq.lfq_manager - INFO - Analysis finished!\n" + "2024-01-24 15:35:11,860 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", + "2024-01-24 15:35:12,056 - directlfq.utils - INFO - using input type diann_precursors\n", + "2024-01-24 15:35:12,115 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", + "2024-01-24 15:35:12,117 - directlfq.normalization - INFO - to few values for normalization without missing values. Including missing values\n", + "2024-01-24 15:35:12,120 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", + "2024-01-24 15:35:12,120 - directlfq.protein_intensity_estimation - INFO - 46 lfq-groups total\n", + "2024-01-24 15:35:12,137 - directlfq.protein_intensity_estimation - INFO - lfq-object 0\n", + "2024-01-24 15:35:12,743 - directlfq.lfq_manager - INFO - Writing results files.\n", + "2024-01-24 15:35:12,755 - directlfq.lfq_manager - INFO - Analysis finished!\n", + "2024-01-24 15:35:12,756 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", + "2024-01-24 15:35:12,832 - directlfq.utils - INFO - using input type diann_peptide_based_on_precursor_ms1_and_ms2\n", + "2024-01-24 15:35:12,984 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", + "2024-01-24 15:35:12,989 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", + "2024-01-24 15:35:12,990 - directlfq.protein_intensity_estimation - INFO - 840 lfq-groups total\n", + "2024-01-24 15:35:13,314 - directlfq.protein_intensity_estimation - INFO - using 10 processes\n", + "2024-01-24 15:35:13,335 - directlfq.protein_intensity_estimation - INFO - lfq-object 0\n", + "2024-01-24 15:35:13,394 - directlfq.protein_intensity_estimation - INFO - lfq-object 100\n", + "2024-01-24 15:35:13,454 - directlfq.protein_intensity_estimation - INFO - lfq-object 200\n", + "2024-01-24 15:35:13,508 - directlfq.protein_intensity_estimation - INFO - lfq-object 300\n", + "2024-01-24 15:35:13,562 - directlfq.protein_intensity_estimation - INFO - lfq-object 400\n", + "2024-01-24 15:35:13,622 - directlfq.protein_intensity_estimation - INFO - lfq-object 500\n", + "2024-01-24 15:35:13,678 - directlfq.protein_intensity_estimation - INFO - lfq-object 600\n", + "2024-01-24 15:35:13,833 - directlfq.protein_intensity_estimation - INFO - lfq-object 700\n", + "2024-01-24 15:35:13,887 - directlfq.protein_intensity_estimation - INFO - lfq-object 800\n", + "2024-01-24 15:35:14,104 - directlfq.lfq_manager - INFO - Writing results files.\n", + "2024-01-24 15:35:14,136 - directlfq.lfq_manager - INFO - Analysis finished!\n", + "2024-01-24 15:35:14,137 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", + "2024-01-24 15:35:14,218 - directlfq.utils - INFO - using input type diann_precursor_ms1_and_ms2\n", + "2024-01-24 15:35:14,338 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", + "2024-01-24 15:35:14,343 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", + "2024-01-24 15:35:14,344 - directlfq.protein_intensity_estimation - INFO - 46 lfq-groups total\n", + "2024-01-24 15:35:14,427 - directlfq.protein_intensity_estimation - INFO - using 10 processes\n", + "2024-01-24 15:35:14,435 - directlfq.protein_intensity_estimation - INFO - lfq-object 0\n", + "2024-01-24 15:35:14,767 - directlfq.lfq_manager - INFO - Writing results files.\n", + "2024-01-24 15:35:14,788 - directlfq.lfq_manager - INFO - Analysis finished!\n" ] } ], @@ -77,7 +73,7 @@ "filter_dict={'protein_filt': {'param': 'Lib.PG.Q.Value', 'comparator': '<=', 'value': 0.01},\n", " 'peptide_filt' :{'param' : 'Lib.Q.Value','comparator': '<=', 'value': 0.01}}\n", "if __name__ == '__main__': \n", - " lfq_manager.run_lfq(diann_quicktest_file, filter_dict=filterdict_file)\n", + " lfq_manager.run_lfq(diann_quicktest_file, filter_dict=filterdict_file, num_cores=1)\n", " lfq_manager.run_lfq(diann_quicktest_file, input_type_to_use='diann_peptide_based_on_precursor_ms1_and_ms2', filter_dict=filter_dict)\n", " lfq_manager.run_lfq(diann_quicktest_file, input_type_to_use='diann_precursor_ms1_and_ms2')\n", "\n" @@ -85,23 +81,22 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2024-01-16 18:30:49,727 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", - "2024-01-16 18:30:49,912 - directlfq.utils - INFO - using input type maxquant_peptides_leading_razor_protein\n", - "2024-01-16 18:30:49,952 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", - "2024-01-16 18:30:49,953 - directlfq.normalization - INFO - to few values for normalization without missing values. Including missing values\n", - "2024-01-16 18:30:49,958 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", - "2024-01-16 18:30:49,959 - directlfq.protein_intensity_estimation - INFO - 49 lfq-objects total\n", - "2024-01-16 18:30:49,972 - directlfq.protein_intensity_estimation - INFO - Split up normed_df into individual lfq-objects\n", - "2024-01-16 18:30:49,972 - directlfq.protein_intensity_estimation - INFO - lfq-object 0\n", - "2024-01-16 18:30:50,458 - directlfq.lfq_manager - INFO - Writing results files.\n", - "2024-01-16 18:30:50,469 - directlfq.lfq_manager - INFO - Analysis finished!\n" + "2024-01-24 15:35:14,796 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", + "2024-01-24 15:35:14,959 - directlfq.utils - INFO - using input type maxquant_peptides_leading_razor_protein\n", + "2024-01-24 15:35:15,007 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", + "2024-01-24 15:35:15,009 - directlfq.normalization - INFO - to few values for normalization without missing values. Including missing values\n", + "2024-01-24 15:35:15,015 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", + "2024-01-24 15:35:15,015 - directlfq.protein_intensity_estimation - INFO - 49 lfq-groups total\n", + "2024-01-24 15:35:15,032 - directlfq.protein_intensity_estimation - INFO - lfq-object 0\n", + "2024-01-24 15:35:15,557 - directlfq.lfq_manager - INFO - Writing results files.\n", + "2024-01-24 15:35:15,572 - directlfq.lfq_manager - INFO - Analysis finished!\n" ] } ], @@ -120,34 +115,32 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2024-01-16 18:30:50,475 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", - "2024-01-16 18:30:50,603 - directlfq.utils - INFO - using input type maxquant_evidence_leading_razor_protein\n", - "2024-01-16 18:30:50,701 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", - "2024-01-16 18:30:50,702 - directlfq.normalization - INFO - to few values for normalization without missing values. Including missing values\n", - "2024-01-16 18:30:50,708 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", - "2024-01-16 18:30:50,708 - directlfq.protein_intensity_estimation - INFO - 50 lfq-objects total\n", - "2024-01-16 18:30:50,723 - directlfq.protein_intensity_estimation - INFO - Split up normed_df into individual lfq-objects\n", - "2024-01-16 18:30:50,781 - directlfq.protein_intensity_estimation - INFO - using 10 processes\n", - "2024-01-16 18:30:50,788 - directlfq.protein_intensity_estimation - INFO - lfq-object 0\n", - "2024-01-16 18:30:51,078 - directlfq.lfq_manager - INFO - Writing results files.\n", - "2024-01-16 18:30:51,093 - directlfq.lfq_manager - INFO - Analysis finished!\n", - "2024-01-16 18:30:51,093 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", - "2024-01-16 18:30:51,222 - directlfq.utils - INFO - using input type maxquant_evidence_leading_razor_protein\n", - "2024-01-16 18:30:51,324 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", - "2024-01-16 18:30:51,325 - root - INFO - Normalizing only selected proteins\n", - "2024-01-16 18:30:51,331 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", - "2024-01-16 18:30:51,331 - directlfq.protein_intensity_estimation - INFO - 50 lfq-objects total\n", - "2024-01-16 18:30:51,346 - directlfq.protein_intensity_estimation - INFO - Split up normed_df into individual lfq-objects\n", - "2024-01-16 18:30:51,347 - directlfq.protein_intensity_estimation - INFO - lfq-object 0\n", - "2024-01-16 18:30:52,024 - directlfq.lfq_manager - INFO - Writing results files.\n", - "2024-01-16 18:30:52,040 - directlfq.lfq_manager - INFO - Analysis finished!\n" + "2024-01-24 15:35:15,578 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", + "2024-01-24 15:35:15,787 - directlfq.utils - INFO - using input type maxquant_evidence_leading_razor_protein\n", + "2024-01-24 15:35:15,890 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", + "2024-01-24 15:35:15,892 - directlfq.normalization - INFO - to few values for normalization without missing values. Including missing values\n", + "2024-01-24 15:35:15,898 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", + "2024-01-24 15:35:15,899 - directlfq.protein_intensity_estimation - INFO - 50 lfq-groups total\n", + "2024-01-24 15:35:15,979 - directlfq.protein_intensity_estimation - INFO - using 10 processes\n", + "2024-01-24 15:35:15,987 - directlfq.protein_intensity_estimation - INFO - lfq-object 0\n", + "2024-01-24 15:35:16,221 - directlfq.lfq_manager - INFO - Writing results files.\n", + "2024-01-24 15:35:16,239 - directlfq.lfq_manager - INFO - Analysis finished!\n", + "2024-01-24 15:35:16,240 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", + "2024-01-24 15:35:16,395 - directlfq.utils - INFO - using input type maxquant_evidence_leading_razor_protein\n", + "2024-01-24 15:35:16,505 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", + "2024-01-24 15:35:16,507 - root - INFO - Normalizing only selected proteins\n", + "2024-01-24 15:35:16,514 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", + "2024-01-24 15:35:16,515 - directlfq.protein_intensity_estimation - INFO - 50 lfq-groups total\n", + "2024-01-24 15:35:16,534 - directlfq.protein_intensity_estimation - INFO - lfq-object 0\n", + "2024-01-24 15:35:17,205 - directlfq.lfq_manager - INFO - Writing results files.\n", + "2024-01-24 15:35:17,222 - directlfq.lfq_manager - INFO - Analysis finished!\n" ] } ], @@ -166,33 +159,31 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2024-01-16 18:30:52,046 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", - "2024-01-16 18:30:52,181 - directlfq.utils - INFO - using input type spectronaut_fragion_isotopes\n", - "2024-01-16 18:30:52,609 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", - "2024-01-16 18:30:52,609 - root - INFO - Normalizing only selected proteins\n", - "2024-01-16 18:30:52,620 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", - "2024-01-16 18:30:52,621 - directlfq.protein_intensity_estimation - INFO - 50 lfq-objects total\n", - "2024-01-16 18:30:52,639 - directlfq.protein_intensity_estimation - INFO - Split up normed_df into individual lfq-objects\n", - "2024-01-16 18:30:52,639 - directlfq.protein_intensity_estimation - INFO - lfq-object 0\n", - "2024-01-16 18:30:53,978 - directlfq.lfq_manager - INFO - Writing results files.\n", - "2024-01-16 18:30:54,005 - directlfq.lfq_manager - INFO - Analysis finished!\n", - "2024-01-16 18:30:54,005 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", - "2024-01-16 18:30:54,132 - directlfq.utils - INFO - using input type spectronaut_fragion_isotopes\n", - "2024-01-16 18:30:54,580 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", - "2024-01-16 18:30:54,588 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", - "2024-01-16 18:30:54,589 - directlfq.protein_intensity_estimation - INFO - 50 lfq-objects total\n", - "2024-01-16 18:30:54,606 - directlfq.protein_intensity_estimation - INFO - Split up normed_df into individual lfq-objects\n", - "2024-01-16 18:30:54,662 - directlfq.protein_intensity_estimation - INFO - using 10 processes\n", - "2024-01-16 18:30:54,669 - directlfq.protein_intensity_estimation - INFO - lfq-object 0\n", - "2024-01-16 18:30:55,131 - directlfq.lfq_manager - INFO - Writing results files.\n", - "2024-01-16 18:30:55,159 - directlfq.lfq_manager - INFO - Analysis finished!\n" + "2024-01-24 15:35:17,229 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", + "2024-01-24 15:35:17,386 - directlfq.utils - INFO - using input type spectronaut_fragion_isotopes\n", + "2024-01-24 15:35:17,870 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", + "2024-01-24 15:35:17,871 - root - INFO - Normalizing only selected proteins\n", + "2024-01-24 15:35:17,884 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", + "2024-01-24 15:35:17,886 - directlfq.protein_intensity_estimation - INFO - 50 lfq-groups total\n", + "2024-01-24 15:35:17,906 - directlfq.protein_intensity_estimation - INFO - lfq-object 0\n", + "2024-01-24 15:35:19,383 - directlfq.lfq_manager - INFO - Writing results files.\n", + "2024-01-24 15:35:19,411 - directlfq.lfq_manager - INFO - Analysis finished!\n", + "2024-01-24 15:35:19,412 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", + "2024-01-24 15:35:19,563 - directlfq.utils - INFO - using input type spectronaut_fragion_isotopes\n", + "2024-01-24 15:35:19,979 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", + "2024-01-24 15:35:19,988 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", + "2024-01-24 15:35:19,990 - directlfq.protein_intensity_estimation - INFO - 50 lfq-groups total\n", + "2024-01-24 15:35:20,076 - directlfq.protein_intensity_estimation - INFO - using 10 processes\n", + "2024-01-24 15:35:20,085 - directlfq.protein_intensity_estimation - INFO - lfq-object 0\n", + "2024-01-24 15:35:20,544 - directlfq.lfq_manager - INFO - Writing results files.\n", + "2024-01-24 15:35:20,574 - directlfq.lfq_manager - INFO - Analysis finished!\n" ] } ], diff --git a/tests/quicktests/test_importing.ipynb b/tests/quicktests/test_importing.ipynb index d3a980e..90c9b59 100644 --- a/tests/quicktests/test_importing.ipynb +++ b/tests/quicktests/test_importing.ipynb @@ -9,9 +9,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "2024-01-22 12:20:28,098 - directlfq.protein_intensity_estimation - INFO - 50 prots total\n", - "2024-01-22 12:20:28,119 - directlfq.protein_intensity_estimation - INFO - using 2 processes\n", - "2024-01-22 12:20:28,140 - directlfq.protein_intensity_estimation - INFO - prot 0\n" + "2024-01-24 14:44:51,614 - directlfq.protein_intensity_estimation - INFO - 50 lfq-groups total\n", + "2024-01-24 14:44:51,687 - directlfq.protein_intensity_estimation - INFO - using 2 processes\n", + "2024-01-24 14:44:51,800 - directlfq.protein_intensity_estimation - INFO - lfq-object 0\n" ] } ], @@ -52,7 +52,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.0" + "version": "3.8.18" } }, "nbformat": 4, diff --git a/tests/ratio_tests/comapare_charite_cohort_diann.ipynb b/tests/ratio_tests/comapare_charite_cohort_diann.ipynb index d6b5eb9..e48eb0c 100644 --- a/tests/ratio_tests/comapare_charite_cohort_diann.ipynb +++ b/tests/ratio_tests/comapare_charite_cohort_diann.ipynb @@ -53,31 +53,31 @@ "name": "stderr", "output_type": "stream", "text": [ - "2023-12-05 13:08:32,066 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", - "2023-12-05 13:08:34,688 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", - "2023-12-05 13:08:36,858 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", - "2023-12-05 13:08:36,862 - directlfq.protein_intensity_estimation - INFO - 394 prots total\n", - "2023-12-05 13:08:36,943 - directlfq.protein_intensity_estimation - INFO - using 10 processes\n", - "2023-12-05 13:08:37,098 - directlfq.protein_intensity_estimation - INFO - prot 0\n", + "2024-01-24 15:37:37,132 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", + "2024-01-24 15:37:40,357 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", + "2024-01-24 15:37:42,865 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", + "2024-01-24 15:37:42,868 - directlfq.protein_intensity_estimation - INFO - 394 lfq-groups total\n", + "2024-01-24 15:37:43,085 - directlfq.protein_intensity_estimation - INFO - using 10 processes\n", + "2024-01-24 15:37:43,221 - directlfq.protein_intensity_estimation - INFO - lfq-object 0\n", "/Users/constantin/opt/anaconda3/envs/directlfq/lib/python3.8/site-packages/numpy/lib/nanfunctions.py:1217: RuntimeWarning: All-NaN slice encountered\n", " r, k = function_base._ureduce(a, func=_nanmedian, axis=axis, out=out,\n", - "2023-12-05 13:08:38,159 - directlfq.protein_intensity_estimation - INFO - prot 100\n", + "2024-01-24 15:37:46,809 - directlfq.protein_intensity_estimation - INFO - lfq-object 100\n", "/Users/constantin/opt/anaconda3/envs/directlfq/lib/python3.8/site-packages/numpy/lib/nanfunctions.py:1217: RuntimeWarning: All-NaN slice encountered\n", " r, k = function_base._ureduce(a, func=_nanmedian, axis=axis, out=out,\n", "/Users/constantin/opt/anaconda3/envs/directlfq/lib/python3.8/site-packages/numpy/lib/nanfunctions.py:1217: RuntimeWarning: All-NaN slice encountered\n", " r, k = function_base._ureduce(a, func=_nanmedian, axis=axis, out=out,\n", - "2023-12-05 13:08:39,017 - directlfq.protein_intensity_estimation - INFO - prot 200\n", + "2024-01-24 15:37:51,523 - directlfq.protein_intensity_estimation - INFO - lfq-object 200\n", "/Users/constantin/opt/anaconda3/envs/directlfq/lib/python3.8/site-packages/numpy/lib/nanfunctions.py:1217: RuntimeWarning: All-NaN slice encountered\n", " r, k = function_base._ureduce(a, func=_nanmedian, axis=axis, out=out,\n", "/Users/constantin/opt/anaconda3/envs/directlfq/lib/python3.8/site-packages/numpy/lib/nanfunctions.py:1217: RuntimeWarning: All-NaN slice encountered\n", " r, k = function_base._ureduce(a, func=_nanmedian, axis=axis, out=out,\n", + "2024-01-24 15:37:56,884 - directlfq.protein_intensity_estimation - INFO - lfq-object 300\n", "/Users/constantin/opt/anaconda3/envs/directlfq/lib/python3.8/site-packages/numpy/lib/nanfunctions.py:1217: RuntimeWarning: All-NaN slice encountered\n", " r, k = function_base._ureduce(a, func=_nanmedian, axis=axis, out=out,\n", - "2023-12-05 13:08:40,067 - directlfq.protein_intensity_estimation - INFO - prot 300\n", "/Users/constantin/opt/anaconda3/envs/directlfq/lib/python3.8/site-packages/numpy/lib/nanfunctions.py:1217: RuntimeWarning: All-NaN slice encountered\n", " r, k = function_base._ureduce(a, func=_nanmedian, axis=axis, out=out,\n", - "2023-12-05 13:08:48,839 - directlfq.lfq_manager - INFO - Writing results files.\n", - "2023-12-05 13:09:00,719 - directlfq.lfq_manager - INFO - Analysis finished!\n" + "2024-01-24 15:38:19,237 - directlfq.lfq_manager - INFO - Writing results files.\n", + "2024-01-24 15:38:49,381 - directlfq.lfq_manager - INFO - Analysis finished!\n" ] } ], diff --git a/tests/ratio_tests/compare_largefc_diann_iq.ipynb b/tests/ratio_tests/compare_largefc_diann_iq.ipynb index b10ffd1..d64d45c 100644 --- a/tests/ratio_tests/compare_largefc_diann_iq.ipynb +++ b/tests/ratio_tests/compare_largefc_diann_iq.ipynb @@ -57,581 +57,135 @@ "metadata": {}, "outputs": [ { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "Starting directLFQ analysis.\n", - "reformatting input file, for large files this might take a while.\n", - "using input type diann_fragion_isotopes_topn\n", - "Performing sample normalization.\n", - "Estimating lfq intensities.\n", - "13392 prots total\n", - "using 10 processes\n", - "prot 0\n", - "prot 400\n", - "prot 700\n", - "prot 100\n", - "prot 1700\n", - "prot 1400\n", - "prot 200\n", - "prot 2700prot 2400\n", - "\n", - "prot 1100\n", - "prot 800\n", - "prot 500\n", - "prot 2100\n", - "prot 300\n", - "prot 1800\n", - "prot 3100\n", - "prot 1500\n", - "prot 2800\n", - "prot 2500\n", - "prot 1200\n", - "prot 3400\n", - "prot 2200\n", - "prot 900\n", - "prot 600\n", - "prot 3200\n", - "prot 1600\n", - "prot 1900\n", - "prot 2900\n", - "prot 2600\n", - "prot 3500\n", - "prot 1300\n", - "prot 2300prot 3700\n", - "\n", - "prot 1000\n", - "prot 3300\n", - "prot 2000\n", - "prot 3000\n", - "prot 3600\n", - "\n", - "prot 3800prot 4700\n", - "prot 4100\n", - "\n", - "prot 5400\n", - "prot 4400\n", - "prot 5700prot 3900\n", - "prot 5100\n", - "prot 4800\n", - "prot 6700\n", - "prot 4200\n", - "prot 6400\n", - "prot 6100\n", - "prot 4500\n", - "prot 4000\n", - "prot 5200\n", - "prot 5500\n", - "prot 5800\n", - "prot 6500\n", - "prot 4300\n", - "prot 6800\n", - "prot 6200\n", - "prot 4900\n", - "prot 5300\n", - "prot 6900\n", - "prot 6600\n", - "prot 4600prot 5600\n", - "\n", - "prot 7100prot 7400\n", - "\n", - "prot 5900\n", - "prot 6300\n", - "prot 7000\n", - "prot 5000\n", - "prot 8400\n", - "prot 6000\n", - "prot 7800\n", - "prot 8100\n", - "prot 7200\n", - "prot 7500\n", - "prot 9400\n", - "prot 8800\n", - "prot 9100\n", - "prot 7900\n", - "prot 8500\n", - "prot 8200\n", - "prot 10100\n", - "prot 9800\n", - "prot 9500\n", - "prot 7600\n", - "prot 7300\n", - "prot 8000\n", - "prot 8600prot 8900\n", - "\n", - "prot 9200\n", - "prot 9600\n", - "prot 8300\n", - "prot 10400\n", - "prot 9900\n", - "prot 8700\n", - "prot 10200\n", - "prot 9000\n", - "prot 7700\n", - "prot 9300\n", - "prot 11400\n", - "prot 9700\n", - "prot 10500\n", - "prot 10000\n", - "prot 11100\n", - "prot 10300\n", - "prot 10800\n", - "prot 12400\n", - "prot 12100\n", - "prot 11800\n", - "prot 11500\n", - "prot 11200\n", - "prot 10600\n", - "prot 13100\n", - "prot 10900\n", - "prot 12500\n", - "prot 12800\n", - "prot 12200\n", - "prot 11900\n", - "prot 10700\n", - "prot 11300\n", - "prot 11600\n", - "prot 12600\n", - "prot 13200\n", - "prot 11000\n", - "prot 12900\n", - "prot 12000\n", - "prot 12300\n", - "prot 11700\n", - "prot 13300\n", - "prot 12700\n", - "prot 13000\n", - "Writing results files.\n", - "Analysis finished!\n", - "Starting directLFQ analysis.\n", - "reformatting input file, for large files this might take a while.\n", - "using input type diann_precursor_ms1_and_ms2\n", - "Performing sample normalization.\n", - "Estimating lfq intensities.\n", - "13392 prots total\n", - "using 10 processes\n", - "prot 0\n", - "prot 400\n", - "\n", - "prot 700prot 100\n", - "prot 1700\n", - "prot 200\n", - "prot 1400\n", - "prot 1100\n", - "prot 300\n", - "prot 800\n", - "prot 500\n", - "prot 2700\n", - "prot 2400\n", - "prot 1800\n", - "prot 2100\n", - "prot 3400\n", - "prot 1500\n", - "prot 3100\n", - "prot 2800\n", - "prot 1200\n", - "prot 600\n", - "prot 900prot 2500\n", - "\n", - "prot 3500\n", - "prot 1600\n", - "prot 2200\n", - "prot 2900\n", - "prot 1900\n", - "prot 3200\n", - "prot 2600\n", - "prot 1300\n", - "prot 3700\n", - "prot 1000\n", - "prot 3600\n", - "prot 2000\n", - "prot 2300\n", - "prot 3300\n", - "prot 3000\n", - "prot 3800\n", - "prot 4700\n", - "prot 4100\n", - "prot 4400\n", - "prot 3900\n", - "prot 5400\n", - "prot 5700\n", - "prot 4200\n", - "prot 4800\n", - "prot 5100\n", - "prot 4000\n", - "prot 6400\n", - "prot 6700\n", - "prot 4500\n", - "prot 4300\n", - "prot 6100\n", - "prot 5200\n", - "prot 6500\n", - "prot 5500\n", - "prot 5800\n", - "prot 6800\n", - "prot 4900\n", - "prot 6200\n", - "prot 7400prot 5300\n", - "\n", - "prot 4600\n", - "prot 6600prot 7100\n", - "\n", - "prot 6900\n", - "prot 5600\n", - "prot 5900\n", - "prot 6300\n", - "prot 7000\n", - "prot 5000\n", - "prot 8400\n", - "prot 7200\n", - "prot 6000prot 7800prot 8100\n", - "\n", - "\n", - "prot 7500\n", - "prot 8800\n", - "prot 9400\n", - "prot 9100prot 7900\n", - "\n", - "prot 8500\n", - "prot 8200\n", - "prot 9500\n", - "prot 9800\n", - "prot 7300\n", - "prot 8000\n", - "prot 7600\n", - "prot 10100\n", - "prot 8900\n", - "prot 9200\n", - "prot 8600\n", - "prot 9600\n", - "prot 10400\n", - "prot 9900\n", - "prot 8300\n", - "prot 8700\n", - "prot 9000\n", - "prot 7700\n", - "prot 9300\n", - "prot 10200prot 9700\n", - "\n", - "prot 10500\n", - "prot 11400\n", - "prot 10000\n", - "prot 11100\n", - "prot 10800\n", - "prot 10300\n", - "prot 12100\n", - "\n", - "prot 12400prot 11800\n", - "prot 10600\n", - "prot 11200\n", - "prot 11500\n", - "prot 13100\n", - "prot 10900prot 12800\n", - "\n", - "prot 12500\n", - "prot 10700\n", - "prot 11900\n", - "prot 12200\n", - "prot 11300\n", - "prot 11600\n", - "prot 12900\n", - "prot 12600\n", - "prot 13200\n", - "prot 12000\n", - "prot 11000\n", - "prot 12300\n", - "prot 11700\n", - "prot 13000\n", - "prot 13300\n", - "prot 12700\n", - "Writing results files.\n", - "Analysis finished!\n", - "Starting directLFQ analysis.\n", - "reformatting input file, for large files this might take a while.\n", - "using input type diann_precursors\n", - "Performing sample normalization.\n", - "Estimating lfq intensities.\n", - "13392 prots total\n", - "using 10 processes\n", - "prot 0\n", - "prot 400\n", - "prot 100\n", - "prot 700\n", - "prot 200\n", - "prot 1700\n", - "prot 300\n", - "prot 1400\n", - "prot 800prot 500\n", - "prot 1100\n", - "\n", - "prot 2400\n", - "prot 2700\n", - "prot 1800\n", - "prot 3400\n", - "prot 2100\n", - "prot 1500\n", - "prot 600\n", - "prot 900\n", - "prot 1200\n", - "prot 3100\n", - "prot 2800\n", - "prot 2500\n", - "prot 3500\n", - "prot 2200\n", - "prot 2900\n", - "prot 1900\n", - "prot 1600\n", - "prot 1000\n", - "\n", - "prot 3700prot 2600\n", - "prot 3200\n", - "prot 1300\n", - "prot 2000\n", - "prot 3600\n", - "prot 3800\n", - "prot 2300\n", - "prot 3000\n", - "prot 3300\n", - "prot 4100\n", - "prot 3900\n", - "prot 4700\n", - "prot 4400\n", - "prot 4200\n", - "prot 4000\n", - "prot 4300\n", - "prot 5400\n", - "prot 4800\n", - "prot 5700\n", - "prot 5100\n", - "prot 4500\n", - "prot 5200\n", - "prot 6100\n", - "prot 5500\n", - "prot 6400\n", - "prot 6700prot 5800\n", - "\n", - "prot 4600\n", - "prot 6200\n", - "prot 5300\n", - "prot 4900\n", - "prot 6500\n", - "prot 5600\n", - "prot 6800\n", - "prot 5900\n", - "prot 6300\n", - "prot 6600\n", - "prot 6900\n", - "prot 5000\n", - "prot 7400\n", - "prot 7100\n", - "prot 7000\n", - "prot 6000\n", - "prot 7800\n", - "prot 8100\n", - "prot 8400\n", - "prot 7200\n", - "prot 7900\n", - "prot 7500\n", - "prot 8800prot 9400\n", - "\n", - "prot 9100prot 8200\n", - "\n", - "prot 8000\n", - "prot 8500\n", - "prot 9500\n", - "prot 7300\n", - "prot 7600\n", - "prot 8900\n", - "prot 9800prot 9200\n", - "prot 8300prot 8600\n", - "\n", - "\n", - "prot 9600\n", - "prot 10400prot 10100\n", - "\n", - "prot 8700\n", - "prot 9300\n", - "\n", - "prot 9900\n", - "prot 7700prot 9000\n", - "prot 9700\n", - "prot 10500\n", - "prot 10200\n", - "prot 10000\n", - "prot 11100\n", - "prot 11400\n", - "prot 10800\n", - "prot 10600\n", - "prot 10300\n", - "prot 11200\n", - "prot 12400\n", - "prot 10700\n", - "prot 12100\n", - "prot 10900\n", - "prot 11800\n", - "prot 11500\n", - "prot 11300\n", - "prot 12500\n", - "prot 11900\n", - "prot 12800\n", - "prot 12200\n", - "prot 11000prot 11600\n", - "\n", - "prot 13100\n", - "prot 12000\n", - "prot 12600\n", - "prot 12300\n", - "prot 12900\n", - "prot 11700\n", - "prot 13200\n", - "prot 12700\n", - "prot 13000\n", - "prot 13300\n", - "Writing results files.\n", - "Analysis finished!\n", - "Starting directLFQ analysis.\n", - "reformatting input file, for large files this might take a while.\n", - "using input type diann_fragion_isotopes\n", - "Performing sample normalization.\n", - "Estimating lfq intensities.\n", - "13392 prots total\n", - "using 10 processes\n", - "prot 0\n", - "prot 700\n", - "prot 400\n", - "prot 1700\n", - "prot 100\n", - "prot 1400\n", - "prot 2700\n", - "prot 2400\n", - "prot 1100\n", - "prot 2100\n", - "prot 800\n", - "prot 200\n", - "prot 500\n", - "prot 1800\n", - "prot 3100\n", - "prot 1500\n", - "prot 2800\n", - "prot 300\n", - "prot 2500\n", - "prot 1200\n", - "prot 2200\n", - "prot 900\n", - "prot 600\n", - "prot 1900\n", - "prot 3200\n", - "prot 1600\n", - "prot 2900\n", - "prot 3400\n", - "prot 2600\n", - "prot 1300\n", - "prot 2300\n", - "prot 1000prot 3700\n", - "\n", - "prot 2000\n", - "prot 3300\n", - "prot 3500\n", - "prot 3000\n", - "prot 4700\n", - "prot 4400\n", - "prot 3800\n", - "prot 4100\n", - "prot 5700\n", - "\n", - "prot 5400prot 5100\n", - "prot 3600\n", - "prot 4800\n", - "prot 6400\n", - "prot 4200prot 3900\n", - "\n", - "prot 4500\n", - 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"prot 10500prot 12400\n", - "prot 12100\n", - "prot 11500\n", - "prot 11800\n", - "prot 11200\n", - "prot 10900\n", - "prot 13100\n", - "prot 12800\n", - "prot 10600\n", - "prot 12500\n", - "prot 12200\n", - "prot 11900\n", - "prot 11600\n", - "prot 11300\n", - "prot 11000\n", - "prot 10700\n", - "prot 12900\n", - "prot 13200\n", - "prot 12600\n", - "prot 12300\n", - "prot 12000\n", - "prot 11700\n", - "prot 13300prot 13000\n", - "\n", - "prot 12700\n", - "Writing results files.\n", - "Analysis finished!\n" + "2024-01-24 15:37:47,283 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", + "2024-01-24 15:37:47,406 - directlfq.utils - INFO - using input type diann_precursor_ms1_and_ms2\n", + "2024-01-24 15:38:02,613 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", + "2024-01-24 15:38:04,197 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", + "2024-01-24 15:38:04,222 - directlfq.protein_intensity_estimation - INFO - 11788 lfq-groups total\n", + "2024-01-24 15:38:10,458 - 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directlfq.protein_intensity_estimation - INFO - lfq-object 9400\n", + "2024-01-24 15:38:42,260 - directlfq.protein_intensity_estimation - INFO - lfq-object 10000\n", + "2024-01-24 15:38:42,398 - directlfq.protein_intensity_estimation - INFO - lfq-object 11000\n", + "2024-01-24 15:38:42,740 - directlfq.protein_intensity_estimation - INFO - lfq-object 10600\n", + "2024-01-24 15:38:42,739 - directlfq.protein_intensity_estimation - INFO - lfq-object 10300\n", + "2024-01-24 15:38:43,117 - directlfq.protein_intensity_estimation - INFO - lfq-object 11300\n", + "2024-01-24 15:38:43,354 - directlfq.protein_intensity_estimation - INFO - lfq-object 10800\n", + "2024-01-24 15:38:43,749 - directlfq.protein_intensity_estimation - INFO - lfq-object 11600\n", + "2024-01-24 15:38:44,060 - directlfq.protein_intensity_estimation - INFO - lfq-object 11100\n", + "2024-01-24 15:38:44,707 - directlfq.protein_intensity_estimation - INFO - lfq-object 11400\n", + "2024-01-24 15:38:44,801 - directlfq.protein_intensity_estimation - INFO - lfq-object 10900\n", + "2024-01-24 15:38:45,302 - directlfq.protein_intensity_estimation - INFO - lfq-object 11200\n", + "2024-01-24 15:38:45,352 - directlfq.protein_intensity_estimation - INFO - lfq-object 11700\n", + "2024-01-24 15:38:45,908 - directlfq.protein_intensity_estimation - INFO - lfq-object 11500\n", + "2024-01-24 15:38:50,333 - directlfq.lfq_manager - INFO - Writing results files.\n", + "2024-01-24 15:38:52,545 - directlfq.lfq_manager - INFO - Analysis finished!\n" ] } ], @@ -1016,88 +570,88 @@ " \n", " \n", " 0\n", - " A0A023PYF4\n", - " 1.873541e+06\n", - " 1.814791e+06\n", - " 2.162360e+06\n", - " 1.914144e+06\n", - " 1.858060e+06\n", - " 2.211496e+06\n", - " A0A023PYF4\n", - " YE145_YEAST\n", - " YER145C-A\n", - " 1.873541e+06\n", - " 1.914144e+06\n", - " -0.030932\n", - " 1.893843e+06\n", - " \n", - " \n", - " 1\n", " A0A061ACH4;A0A061ACK7;A0A061ADS3;A0A061AKN1;Q9...\n", - " 7.722983e+05\n", - " 1.336750e+06\n", - " 1.057135e+06\n", - " 1.156381e+06\n", - " 1.195993e+06\n", - " 1.134188e+06\n", + " 7.722974e+05\n", + " 1.336567e+06\n", + " 1.057122e+06\n", + " 1.156439e+06\n", + " 1.196062e+06\n", + " 1.134216e+06\n", " A0A061ACH4;A0A061ACK7;A0A061ADS3;A0A061AKN1;Q9...\n", " A0A061ACH4_CAEEL;A0A061ACK7_CAEEL;A0A061ADS3_C...\n", " CELE_Y62E10A.13\n", - " 1.057135e+06\n", - " 1.156381e+06\n", - " -0.129457\n", - " 1.106758e+06\n", + " 1.057122e+06\n", + " 1.156439e+06\n", + " -0.129547\n", + " 1.106781e+06\n", " \n", " \n", - " 2\n", + " 1\n", " A0A061ACK1;A0A061AIW8;A0A061AKM4;Q86D10\n", - " 1.640164e+06\n", - " 2.001225e+06\n", - " 2.017627e+06\n", - " 1.637464e+06\n", - " 1.825839e+06\n", - " 1.618453e+06\n", + " 1.640165e+06\n", + " 2.000954e+06\n", + " 2.017606e+06\n", + " 1.637549e+06\n", + " 1.825947e+06\n", + " 1.618496e+06\n", " A0A061ACK1;A0A061AIW8;A0A061AKM4;Q86D10\n", " A0A061ACK1_CAEEL;A0A061AIW8_CAEEL;A0A061AKM4_C...\n", " CELE_F59B8.1\n", - " 2.001225e+06\n", - " 1.637464e+06\n", - " 0.289420\n", - " 1.819345e+06\n", + " 2.000954e+06\n", + " 1.637549e+06\n", + " 0.289150\n", + " 1.819252e+06\n", " \n", " \n", - " 3\n", + " 2\n", " A0A061ACL3;O76618;Q965I6\n", - " 3.474994e+07\n", - " 3.368172e+07\n", - " 2.905244e+07\n", - " 4.184671e+07\n", - " 4.249945e+07\n", - " 4.258142e+07\n", + " 3.475015e+07\n", + " 3.367735e+07\n", + " 2.905229e+07\n", + " 4.184911e+07\n", + " 4.250218e+07\n", + " 4.258277e+07\n", " A0A061ACL3;O76618;Q965I6\n", " A0A061ACL3_CAEEL;O76618_CAEEL;Q965I6_CAEEL\n", " cars-1\n", - " 3.368172e+07\n", - " 4.249945e+07\n", - " -0.335478\n", - " 3.809058e+07\n", + " 3.367735e+07\n", + " 4.250218e+07\n", + " -0.335758\n", + " 3.808976e+07\n", " \n", " \n", - " 4\n", + " 3\n", " A0A061ACM2;A0A061ACP8;A0A061ADW6;A0A4V0IJW4;A0...\n", - " 6.051411e+07\n", - " 6.239669e+07\n", - " 5.752070e+07\n", - " 8.567424e+07\n", - " 8.861491e+07\n", - " 7.566751e+07\n", + " 6.051397e+07\n", + " 6.238809e+07\n", + " 5.751994e+07\n", + " 8.567846e+07\n", + " 8.861990e+07\n", + " 7.566930e+07\n", " A0A061ACM2;A0A061ACP8;A0A061ADW6;A0A4V0IJW4;A0...\n", " A0A061ACM2_CAEEL;A0A061ACP8_CAEEL;A0A061ADW6_C...\n", " eps-8\n", - " 6.051411e+07\n", - " 8.567424e+07\n", - " -0.501590\n", - " 7.309417e+07\n", + " 6.051397e+07\n", + " 8.567846e+07\n", + " -0.501664\n", + " 7.309621e+07\n", + " \n", + " \n", + " 4\n", + " A0A061ACY0;Q21224\n", + " 5.410215e+06\n", + " 5.078181e+06\n", + " 4.418281e+06\n", + " 6.273874e+06\n", + " 6.646970e+06\n", + " 6.202716e+06\n", + " A0A061ACY0;Q21224\n", + " A0A061ACY0_CAEEL;Q21224_CAEEL\n", + " ath-1\n", + " 5.078181e+06\n", + " 6.273874e+06\n", + " -0.305045\n", + " 5.676027e+06\n", " \n", " \n", " ...\n", @@ -1117,227 +671,227 @@ " ...\n", " \n", " \n", - " 13386\n", + " 11741\n", + " V6CLA2\n", + " 1.742243e+07\n", + " 1.646378e+07\n", + " 1.306995e+07\n", + " 1.973214e+07\n", + " 2.381185e+07\n", + " 1.753794e+07\n", + " V6CLA2\n", + " HECD1_CAEEL\n", + " hecd-1\n", + " 1.646378e+07\n", + " 1.973214e+07\n", + " -0.261251\n", + " 1.809796e+07\n", + " \n", + " \n", + " 11742\n", " V6CLG8\n", - " 4.105225e+06\n", - " 5.310651e+06\n", - " 3.140429e+06\n", - " 6.498195e+06\n", - " 8.024580e+06\n", - " 6.348093e+06\n", + " 4.105234e+06\n", + " 5.309942e+06\n", + " 3.140401e+06\n", + " 6.498543e+06\n", + " 8.025066e+06\n", + " 6.348271e+06\n", " V6CLG8\n", " V6CLG8_CAEEL\n", " hsp-60\n", - " 4.105225e+06\n", - " 6.498195e+06\n", - " -0.662578\n", - " 5.301710e+06\n", + " 4.105234e+06\n", + " 6.498543e+06\n", + " -0.662652\n", + " 5.301889e+06\n", " \n", " \n", - " 13387\n", + " 11743\n", " V6CLP5\n", - " 1.693246e+08\n", - " 1.694929e+08\n", - " 1.779431e+08\n", - " 2.226713e+08\n", - " 2.092646e+08\n", - " 2.247474e+08\n", + " 1.693247e+08\n", + " 1.694700e+08\n", + " 1.779412e+08\n", + " 2.226828e+08\n", + " 2.092768e+08\n", + " 2.247533e+08\n", " V6CLP5\n", " KETN1_CAEEL\n", " ketn-1\n", - " 1.694929e+08\n", - " 2.226713e+08\n", - " -0.393691\n", - " 1.960821e+08\n", + " 1.694700e+08\n", + " 2.226828e+08\n", + " -0.393960\n", + " 1.960764e+08\n", " \n", " \n", - " 13388\n", + " 11744\n", " V6CLQ8;V6CLV0\n", - " 1.280378e+07\n", - " 1.544513e+07\n", - " 1.603955e+07\n", - " 1.881307e+07\n", - " 2.077938e+07\n", - " 2.047085e+07\n", + " 1.280377e+07\n", + " 1.544302e+07\n", + " 1.603935e+07\n", + " 1.881401e+07\n", + " 2.078057e+07\n", + " 2.047136e+07\n", " V6CLQ8;V6CLV0\n", " V6CLQ8_CAEEL;V6CLV0_CAEEL\n", " pqn-22\n", - " 1.544513e+07\n", - " 2.047085e+07\n", - " -0.406419\n", - " 1.795799e+07\n", + " 1.544302e+07\n", + " 2.047136e+07\n", + " -0.406652\n", + " 1.795719e+07\n", " \n", " \n", - " 13389\n", + " 11745\n", " W6RRP9;W6RT83\n", " 4.400520e+06\n", - " 3.944963e+06\n", - " 4.668912e+06\n", - " 4.257203e+06\n", - " 4.723764e+06\n", - " 4.697679e+06\n", + " 3.944428e+06\n", + " 4.668860e+06\n", + " 4.257422e+06\n", + " 4.724040e+06\n", + " 4.697801e+06\n", " W6RRP9;W6RT83\n", " W6RRP9_CAEEL;W6RT83_CAEEL\n", " CELE_Y73E7A.3\n", " 4.400520e+06\n", - " 4.697679e+06\n", - " -0.094274\n", - " 4.549100e+06\n", - " \n", - " \n", - " 13390\n", - " W6RRX6;W6RTH3\n", - " 0.000000e+00\n", - " 0.000000e+00\n", - " 8.194219e+05\n", - " 0.000000e+00\n", - " 0.000000e+00\n", - " 5.092522e+05\n", - " W6RRX6;W6RTH3\n", - " W6RRX6_CAEEL;W6RTH3_CAEEL\n", - " sax-7\n", - " 0.000000e+00\n", - " 0.000000e+00\n", - " NaN\n", - " 0.000000e+00\n", + " 4.697801e+06\n", + " -0.094311\n", + " 4.549160e+06\n", " \n", " \n", "\n", - "

13391 rows × 14 columns

\n", + "

11746 rows × 14 columns

\n", "" ], "text/plain": [ " protein \\\n", - "0 A0A023PYF4 \n", - "1 A0A061ACH4;A0A061ACK7;A0A061ADS3;A0A061AKN1;Q9... \n", - "2 A0A061ACK1;A0A061AIW8;A0A061AKM4;Q86D10 \n", - "3 A0A061ACL3;O76618;Q965I6 \n", - "4 A0A061ACM2;A0A061ACP8;A0A061ADW6;A0A4V0IJW4;A0... \n", + "0 A0A061ACH4;A0A061ACK7;A0A061ADS3;A0A061AKN1;Q9... \n", + "1 A0A061ACK1;A0A061AIW8;A0A061AKM4;Q86D10 \n", + "2 A0A061ACL3;O76618;Q965I6 \n", + "3 A0A061ACM2;A0A061ACP8;A0A061ADW6;A0A4V0IJW4;A0... \n", + "4 A0A061ACY0;Q21224 \n", "... ... \n", - "13386 V6CLG8 \n", - "13387 V6CLP5 \n", - "13388 V6CLQ8;V6CLV0 \n", - "13389 W6RRP9;W6RT83 \n", - "13390 W6RRX6;W6RTH3 \n", + "11741 V6CLA2 \n", + "11742 V6CLG8 \n", + "11743 V6CLP5 \n", + "11744 V6CLQ8;V6CLV0 \n", + "11745 W6RRP9;W6RT83 \n", "\n", " MP-LFC-MS1var-OT-S1-120kMS1_MHRM_R01 \\\n", - "0 1.873541e+06 \n", - "1 7.722983e+05 \n", - "2 1.640164e+06 \n", - "3 3.474994e+07 \n", - "4 6.051411e+07 \n", + "0 7.722974e+05 \n", + "1 1.640165e+06 \n", + "2 3.475015e+07 \n", + "3 6.051397e+07 \n", + "4 5.410215e+06 \n", "... ... \n", - "13386 4.105225e+06 \n", - "13387 1.693246e+08 \n", - "13388 1.280378e+07 \n", - "13389 4.400520e+06 \n", - "13390 0.000000e+00 \n", + "11741 1.742243e+07 \n", + "11742 4.105234e+06 \n", + "11743 1.693247e+08 \n", + "11744 1.280377e+07 \n", + "11745 4.400520e+06 \n", "\n", " MP-LFC-MS1var-OT-S1-120kMS1_MHRM_R02 \\\n", - "0 1.814791e+06 \n", - "1 1.336750e+06 \n", - "2 2.001225e+06 \n", - "3 3.368172e+07 \n", - "4 6.239669e+07 \n", + "0 1.336567e+06 \n", + "1 2.000954e+06 \n", + "2 3.367735e+07 \n", + "3 6.238809e+07 \n", + "4 5.078181e+06 \n", "... ... \n", - "13386 5.310651e+06 \n", - "13387 1.694929e+08 \n", - "13388 1.544513e+07 \n", - "13389 3.944963e+06 \n", - "13390 0.000000e+00 \n", + "11741 1.646378e+07 \n", + "11742 5.309942e+06 \n", + "11743 1.694700e+08 \n", + "11744 1.544302e+07 \n", + "11745 3.944428e+06 \n", "\n", " MP-LFC-MS1var-OT-S1-120kMS1_MHRM_R03 \\\n", - "0 2.162360e+06 \n", - "1 1.057135e+06 \n", - "2 2.017627e+06 \n", - "3 2.905244e+07 \n", - "4 5.752070e+07 \n", + "0 1.057122e+06 \n", + "1 2.017606e+06 \n", + "2 2.905229e+07 \n", + "3 5.751994e+07 \n", + "4 4.418281e+06 \n", "... ... \n", - "13386 3.140429e+06 \n", - "13387 1.779431e+08 \n", - "13388 1.603955e+07 \n", - "13389 4.668912e+06 \n", - "13390 8.194219e+05 \n", + "11741 1.306995e+07 \n", + "11742 3.140401e+06 \n", + "11743 1.779412e+08 \n", + "11744 1.603935e+07 \n", + "11745 4.668860e+06 \n", "\n", " MP-LFC-MS1var-OT-S2-120kMS1_MHRM_R01 \\\n", - "0 1.914144e+06 \n", - "1 1.156381e+06 \n", - "2 1.637464e+06 \n", - "3 4.184671e+07 \n", - "4 8.567424e+07 \n", + "0 1.156439e+06 \n", + "1 1.637549e+06 \n", + "2 4.184911e+07 \n", + "3 8.567846e+07 \n", + "4 6.273874e+06 \n", "... ... \n", - "13386 6.498195e+06 \n", - "13387 2.226713e+08 \n", - "13388 1.881307e+07 \n", - "13389 4.257203e+06 \n", - "13390 0.000000e+00 \n", + "11741 1.973214e+07 \n", + "11742 6.498543e+06 \n", + "11743 2.226828e+08 \n", + "11744 1.881401e+07 \n", + "11745 4.257422e+06 \n", "\n", " MP-LFC-MS1var-OT-S2-120kMS1_MHRM_R02 \\\n", - "0 1.858060e+06 \n", - "1 1.195993e+06 \n", - "2 1.825839e+06 \n", - "3 4.249945e+07 \n", - "4 8.861491e+07 \n", + "0 1.196062e+06 \n", + "1 1.825947e+06 \n", + "2 4.250218e+07 \n", + "3 8.861990e+07 \n", + "4 6.646970e+06 \n", "... ... \n", - "13386 8.024580e+06 \n", - "13387 2.092646e+08 \n", - "13388 2.077938e+07 \n", - "13389 4.723764e+06 \n", - "13390 0.000000e+00 \n", + "11741 2.381185e+07 \n", + "11742 8.025066e+06 \n", + "11743 2.092768e+08 \n", + "11744 2.078057e+07 \n", + "11745 4.724040e+06 \n", "\n", " MP-LFC-MS1var-OT-S2-120kMS1_MHRM_R03 \\\n", - "0 2.211496e+06 \n", - "1 1.134188e+06 \n", - "2 1.618453e+06 \n", - "3 4.258142e+07 \n", - "4 7.566751e+07 \n", + "0 1.134216e+06 \n", + "1 1.618496e+06 \n", + "2 4.258277e+07 \n", + "3 7.566930e+07 \n", + "4 6.202716e+06 \n", "... ... \n", - "13386 6.348093e+06 \n", - "13387 2.247474e+08 \n", - "13388 2.047085e+07 \n", - "13389 4.697679e+06 \n", - "13390 5.092522e+05 \n", + "11741 1.753794e+07 \n", + "11742 6.348271e+06 \n", + "11743 2.247533e+08 \n", + "11744 2.047136e+07 \n", + "11745 4.697801e+06 \n", "\n", " Protein.Group \\\n", - "0 A0A023PYF4 \n", - "1 A0A061ACH4;A0A061ACK7;A0A061ADS3;A0A061AKN1;Q9... \n", - "2 A0A061ACK1;A0A061AIW8;A0A061AKM4;Q86D10 \n", - "3 A0A061ACL3;O76618;Q965I6 \n", - "4 A0A061ACM2;A0A061ACP8;A0A061ADW6;A0A4V0IJW4;A0... \n", + "0 A0A061ACH4;A0A061ACK7;A0A061ADS3;A0A061AKN1;Q9... \n", + "1 A0A061ACK1;A0A061AIW8;A0A061AKM4;Q86D10 \n", + "2 A0A061ACL3;O76618;Q965I6 \n", + "3 A0A061ACM2;A0A061ACP8;A0A061ADW6;A0A4V0IJW4;A0... \n", + "4 A0A061ACY0;Q21224 \n", "... ... \n", - "13386 V6CLG8 \n", - "13387 V6CLP5 \n", - "13388 V6CLQ8;V6CLV0 \n", - "13389 W6RRP9;W6RT83 \n", - "13390 W6RRX6;W6RTH3 \n", + "11741 V6CLA2 \n", + "11742 V6CLG8 \n", + "11743 V6CLP5 \n", + "11744 V6CLQ8;V6CLV0 \n", + "11745 W6RRP9;W6RT83 \n", "\n", " Protein.Names Genes \\\n", - "0 YE145_YEAST YER145C-A \n", - "1 A0A061ACH4_CAEEL;A0A061ACK7_CAEEL;A0A061ADS3_C... CELE_Y62E10A.13 \n", - "2 A0A061ACK1_CAEEL;A0A061AIW8_CAEEL;A0A061AKM4_C... CELE_F59B8.1 \n", - "3 A0A061ACL3_CAEEL;O76618_CAEEL;Q965I6_CAEEL cars-1 \n", - "4 A0A061ACM2_CAEEL;A0A061ACP8_CAEEL;A0A061ADW6_C... eps-8 \n", + "0 A0A061ACH4_CAEEL;A0A061ACK7_CAEEL;A0A061ADS3_C... CELE_Y62E10A.13 \n", + "1 A0A061ACK1_CAEEL;A0A061AIW8_CAEEL;A0A061AKM4_C... CELE_F59B8.1 \n", + "2 A0A061ACL3_CAEEL;O76618_CAEEL;Q965I6_CAEEL cars-1 \n", + "3 A0A061ACM2_CAEEL;A0A061ACP8_CAEEL;A0A061ADW6_C... eps-8 \n", + "4 A0A061ACY0_CAEEL;Q21224_CAEEL ath-1 \n", "... ... ... \n", - "13386 V6CLG8_CAEEL hsp-60 \n", - "13387 KETN1_CAEEL ketn-1 \n", - "13388 V6CLQ8_CAEEL;V6CLV0_CAEEL pqn-22 \n", - "13389 W6RRP9_CAEEL;W6RT83_CAEEL CELE_Y73E7A.3 \n", - "13390 W6RRX6_CAEEL;W6RTH3_CAEEL sax-7 \n", + "11741 HECD1_CAEEL hecd-1 \n", + "11742 V6CLG8_CAEEL hsp-60 \n", + "11743 KETN1_CAEEL ketn-1 \n", + "11744 V6CLQ8_CAEEL;V6CLV0_CAEEL pqn-22 \n", + "11745 W6RRP9_CAEEL;W6RT83_CAEEL CELE_Y73E7A.3 \n", "\n", " median_intensity_c1 median_intensity_c2 log2fc mean_intensity \n", - "0 1.873541e+06 1.914144e+06 -0.030932 1.893843e+06 \n", - "1 1.057135e+06 1.156381e+06 -0.129457 1.106758e+06 \n", - "2 2.001225e+06 1.637464e+06 0.289420 1.819345e+06 \n", - "3 3.368172e+07 4.249945e+07 -0.335478 3.809058e+07 \n", - "4 6.051411e+07 8.567424e+07 -0.501590 7.309417e+07 \n", + "0 1.057122e+06 1.156439e+06 -0.129547 1.106781e+06 \n", + "1 2.000954e+06 1.637549e+06 0.289150 1.819252e+06 \n", + "2 3.367735e+07 4.250218e+07 -0.335758 3.808976e+07 \n", + "3 6.051397e+07 8.567846e+07 -0.501664 7.309621e+07 \n", + "4 5.078181e+06 6.273874e+06 -0.305045 5.676027e+06 \n", "... ... ... ... ... \n", - "13386 4.105225e+06 6.498195e+06 -0.662578 5.301710e+06 \n", - "13387 1.694929e+08 2.226713e+08 -0.393691 1.960821e+08 \n", - "13388 1.544513e+07 2.047085e+07 -0.406419 1.795799e+07 \n", - "13389 4.400520e+06 4.697679e+06 -0.094274 4.549100e+06 \n", - "13390 0.000000e+00 0.000000e+00 NaN 0.000000e+00 \n", + "11741 1.646378e+07 1.973214e+07 -0.261251 1.809796e+07 \n", + "11742 4.105234e+06 6.498543e+06 -0.662652 5.301889e+06 \n", + "11743 1.694700e+08 2.226828e+08 -0.393960 1.960764e+08 \n", + "11744 1.544302e+07 2.047136e+07 -0.406652 1.795719e+07 \n", + "11745 4.400520e+06 4.697801e+06 -0.094311 4.549160e+06 \n", "\n", - "[13391 rows x 14 columns]" + "[11746 rows x 14 columns]" ] }, "metadata": {}, @@ -1794,11 +1348,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "YEAST num:2322 median_FC:1.0 STD:0.47\n", + "YEAST num:2201 median_FC:1.1 STD:0.43\n", "\n", - "HUMAN num:6355 median_FC:0.029 STD:0.27\n", + "HUMAN num:5824 median_FC:0.03 STD:0.23\n", "\n", - "CAEEL num:3688 median_FC:-0.34 STD:0.36\n", + "CAEEL num:3321 median_FC:-0.35 STD:0.29\n", "\n", "YEAST num:2206 median_FC:0.98 STD:0.42\n", "\n", @@ -1827,7 +1381,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 10, @@ -1836,7 +1390,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -1927,7 +1481,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.16" + "version": "3.8.17" }, "orig_nbformat": 4, "vscode": { diff --git a/tests/ratio_tests/compare_largefc_spectronaut_iq.ipynb b/tests/ratio_tests/compare_largefc_spectronaut_iq.ipynb index 2f45349..1c133c7 100644 --- a/tests/ratio_tests/compare_largefc_spectronaut_iq.ipynb +++ b/tests/ratio_tests/compare_largefc_spectronaut_iq.ipynb @@ -43,85 +43,85 @@ "name": "stderr", "output_type": "stream", "text": [ - "2023-12-04 19:37:53,756 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", - "2023-12-04 19:37:55,788 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", - "2023-12-04 19:37:57,407 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", - "2023-12-04 19:37:57,449 - directlfq.protein_intensity_estimation - INFO - 7121 prots total\n", - "2023-12-04 19:37:57,520 - directlfq.protein_intensity_estimation - INFO - using 10 processes\n", - "2023-12-04 19:37:58,373 - directlfq.protein_intensity_estimation - INFO - prot 0\n", - "2023-12-04 19:37:58,891 - directlfq.protein_intensity_estimation - INFO - prot 200\n", - "2023-12-04 19:37:59,022 - directlfq.protein_intensity_estimation - INFO - prot 900\n", - "2023-12-04 19:37:59,217 - directlfq.protein_intensity_estimation - INFO - prot 400\n", - "2023-12-04 19:37:59,343 - directlfq.protein_intensity_estimation - INFO - prot 1100\n", - "2023-12-04 19:37:59,544 - directlfq.protein_intensity_estimation - INFO - prot 600\n", - "2023-12-04 19:37:59,838 - directlfq.protein_intensity_estimation - INFO - prot 100\n", - "2023-12-04 19:38:00,119 - directlfq.protein_intensity_estimation - INFO - prot 800\n", - "2023-12-04 19:38:00,198 - directlfq.protein_intensity_estimation - INFO - prot 1300\n", - "2023-12-04 19:38:00,258 - directlfq.protein_intensity_estimation - INFO - prot 300\n", - "2023-12-04 19:38:00,371 - directlfq.protein_intensity_estimation - INFO - prot 1000\n", - "2023-12-04 19:38:00,738 - directlfq.protein_intensity_estimation - INFO - prot 1500\n", - "2023-12-04 19:38:00,811 - directlfq.protein_intensity_estimation - INFO - prot 500\n", - "2023-12-04 19:38:00,870 - directlfq.protein_intensity_estimation - INFO - prot 700\n", - "2023-12-04 19:38:00,978 - directlfq.protein_intensity_estimation - INFO - prot 1200\n", - "2023-12-04 19:38:01,065 - directlfq.protein_intensity_estimation - INFO - prot 1800\n", - "2023-12-04 19:38:01,349 - directlfq.protein_intensity_estimation - INFO - prot 1700\n", - "2023-12-04 19:38:01,710 - directlfq.protein_intensity_estimation - INFO - prot 2000\n", - "2023-12-04 19:38:02,034 - directlfq.protein_intensity_estimation - INFO - prot 2700\n", - "2023-12-04 19:38:02,295 - directlfq.protein_intensity_estimation - INFO - prot 2200\n", - "2023-12-04 19:38:02,518 - directlfq.protein_intensity_estimation - INFO - prot 1400\n", - "2023-12-04 19:38:02,722 - directlfq.protein_intensity_estimation - INFO - prot 2900\n", - "2023-12-04 19:38:02,726 - directlfq.protein_intensity_estimation - INFO - prot 2400\n", - "2023-12-04 19:38:02,764 - directlfq.protein_intensity_estimation - INFO - prot 1600\n", - "2023-12-04 19:38:03,050 - directlfq.protein_intensity_estimation - INFO - prot 1900\n", - "2023-12-04 19:38:03,090 - directlfq.protein_intensity_estimation - INFO - prot 2600\n", - "2023-12-04 19:38:03,516 - directlfq.protein_intensity_estimation - INFO - prot 2800\n", - "2023-12-04 19:38:03,697 - directlfq.protein_intensity_estimation - INFO - prot 2100\n", - "2023-12-04 19:38:04,072 - directlfq.protein_intensity_estimation - INFO - prot 3100\n", - "2023-12-04 19:38:04,126 - directlfq.protein_intensity_estimation - INFO - prot 2300\n", - "2023-12-04 19:38:04,337 - directlfq.protein_intensity_estimation - INFO - prot 2500\n", - "2023-12-04 19:38:04,548 - directlfq.protein_intensity_estimation - INFO - prot 3300\n", - "2023-12-04 19:38:04,681 - directlfq.protein_intensity_estimation - INFO - prot 3000\n", - "2023-12-04 19:38:04,833 - directlfq.protein_intensity_estimation - INFO - prot 3600\n", - "2023-12-04 19:38:05,096 - directlfq.protein_intensity_estimation - INFO - prot 3500\n", - "2023-12-04 19:38:05,096 - directlfq.protein_intensity_estimation - INFO - prot 4300\n", - "2023-12-04 19:38:05,182 - directlfq.protein_intensity_estimation - INFO - prot 3800\n", - "2023-12-04 19:38:05,488 - directlfq.protein_intensity_estimation - INFO - prot 4500\n", - "2023-12-04 19:38:05,560 - directlfq.protein_intensity_estimation - INFO - prot 4000\n", - "2023-12-04 19:38:05,857 - directlfq.protein_intensity_estimation - INFO - prot 4200\n", - "2023-12-04 19:38:05,898 - directlfq.protein_intensity_estimation - INFO - prot 3200\n", - "2023-12-04 19:38:06,080 - directlfq.protein_intensity_estimation - INFO - prot 4700\n", - "2023-12-04 19:38:06,327 - directlfq.protein_intensity_estimation - INFO - prot 3400\n", - "2023-12-04 19:38:06,335 - directlfq.protein_intensity_estimation - INFO - prot 3700\n", - "2023-12-04 19:38:06,588 - directlfq.protein_intensity_estimation - INFO - prot 3900\n", - "2023-12-04 19:38:06,886 - directlfq.protein_intensity_estimation - INFO - prot 4400\n", - "2023-12-04 19:38:07,048 - directlfq.protein_intensity_estimation - INFO - prot 5200\n", - "2023-12-04 19:38:07,182 - directlfq.protein_intensity_estimation - INFO - prot 4600\n", - "2023-12-04 19:38:07,218 - directlfq.protein_intensity_estimation - INFO - prot 4100\n", - "2023-12-04 19:38:07,431 - directlfq.protein_intensity_estimation - INFO - prot 5100\n", - "2023-12-04 19:38:07,456 - directlfq.protein_intensity_estimation - INFO - prot 4800\n", - "2023-12-04 19:38:07,478 - directlfq.protein_intensity_estimation - INFO - prot 4900\n", - "2023-12-04 19:38:07,548 - directlfq.protein_intensity_estimation - INFO - prot 5400\n", - "2023-12-04 19:38:08,291 - directlfq.protein_intensity_estimation - INFO - prot 6100\n", - "2023-12-04 19:38:08,296 - directlfq.protein_intensity_estimation - INFO - prot 5300\n", - "2023-12-04 19:38:08,354 - directlfq.protein_intensity_estimation - INFO - prot 5600\n", - "2023-12-04 19:38:08,499 - directlfq.protein_intensity_estimation - INFO - prot 6300\n", - "2023-12-04 19:38:08,559 - directlfq.protein_intensity_estimation - INFO - prot 5800\n", - "2023-12-04 19:38:08,683 - directlfq.protein_intensity_estimation - INFO - prot 5500\n", - "2023-12-04 19:38:08,977 - directlfq.protein_intensity_estimation - INFO - prot 5000\n", - "2023-12-04 19:38:09,061 - directlfq.protein_intensity_estimation - INFO - prot 6000\n", - "2023-12-04 19:38:09,143 - directlfq.protein_intensity_estimation - INFO - prot 6500\n", - "2023-12-04 19:38:09,550 - directlfq.protein_intensity_estimation - INFO - prot 6700\n", - "2023-12-04 19:38:09,719 - directlfq.protein_intensity_estimation - INFO - prot 5900\n", - "2023-12-04 19:38:09,737 - directlfq.protein_intensity_estimation - INFO - prot 6200\n", - "2023-12-04 19:38:09,777 - directlfq.protein_intensity_estimation - INFO - prot 6400\n", - "2023-12-04 19:38:09,797 - directlfq.protein_intensity_estimation - INFO - prot 7000\n", - "2023-12-04 19:38:09,902 - directlfq.protein_intensity_estimation - INFO - prot 5700\n", - "2023-12-04 19:38:10,445 - directlfq.protein_intensity_estimation - INFO - prot 6600\n", - "2023-12-04 19:38:10,580 - directlfq.protein_intensity_estimation - INFO - prot 6900\n", - "2023-12-04 19:38:10,770 - directlfq.protein_intensity_estimation - INFO - prot 6800\n", - "2023-12-04 19:38:10,949 - directlfq.protein_intensity_estimation - INFO - prot 7100\n", - "2023-12-04 19:38:27,446 - directlfq.lfq_manager - INFO - Writing results files.\n", - "2023-12-04 19:38:30,854 - directlfq.lfq_manager - INFO - Analysis finished!\n" + "2024-01-24 15:37:51,834 - directlfq.lfq_manager - INFO - Starting directLFQ analysis.\n", + "2024-01-24 15:37:56,045 - directlfq.lfq_manager - INFO - Performing sample normalization.\n", + "2024-01-24 15:37:59,090 - directlfq.lfq_manager - INFO - Estimating lfq intensities.\n", + "2024-01-24 15:37:59,187 - directlfq.protein_intensity_estimation - INFO - 7121 lfq-groups total\n", + "2024-01-24 15:38:02,936 - directlfq.protein_intensity_estimation - INFO - using 10 processes\n", + "2024-01-24 15:38:03,104 - directlfq.protein_intensity_estimation - INFO - lfq-object 0\n", + "2024-01-24 15:38:04,032 - directlfq.protein_intensity_estimation - INFO - lfq-object 200\n", + "2024-01-24 15:38:04,368 - directlfq.protein_intensity_estimation - INFO - lfq-object 900\n", + "2024-01-24 15:38:05,192 - directlfq.protein_intensity_estimation - INFO - lfq-object 400\n", + "2024-01-24 15:38:05,248 - directlfq.protein_intensity_estimation - INFO - lfq-object 1100\n", + "2024-01-24 15:38:05,891 - directlfq.protein_intensity_estimation - INFO - lfq-object 600\n", + "2024-01-24 15:38:06,760 - directlfq.protein_intensity_estimation - INFO - lfq-object 100\n", + "2024-01-24 15:38:07,478 - directlfq.protein_intensity_estimation - INFO - lfq-object 800\n", + "2024-01-24 15:38:07,490 - directlfq.protein_intensity_estimation - INFO - lfq-object 1300\n", + "2024-01-24 15:38:07,643 - directlfq.protein_intensity_estimation - INFO - lfq-object 300\n", + "2024-01-24 15:38:08,161 - directlfq.protein_intensity_estimation - INFO - lfq-object 1000\n", + "2024-01-24 15:38:08,765 - directlfq.protein_intensity_estimation - INFO - lfq-object 1500\n", + "2024-01-24 15:38:09,411 - directlfq.protein_intensity_estimation - INFO - lfq-object 500\n", + "2024-01-24 15:38:09,651 - directlfq.protein_intensity_estimation - INFO - lfq-object 700\n", + "2024-01-24 15:38:09,878 - directlfq.protein_intensity_estimation - INFO - lfq-object 1200\n", + "2024-01-24 15:38:10,256 - directlfq.protein_intensity_estimation - INFO - lfq-object 1800\n", + "2024-01-24 15:38:10,540 - directlfq.protein_intensity_estimation - INFO - lfq-object 1700\n", + "2024-01-24 15:38:11,602 - directlfq.protein_intensity_estimation - INFO - lfq-object 2000\n", + "2024-01-24 15:38:13,906 - directlfq.protein_intensity_estimation - INFO - lfq-object 2700\n", + "2024-01-24 15:38:14,613 - directlfq.protein_intensity_estimation - INFO - lfq-object 2200\n", + "2024-01-24 15:38:14,633 - directlfq.protein_intensity_estimation - INFO - lfq-object 1400\n", + "2024-01-24 15:38:15,185 - directlfq.protein_intensity_estimation - INFO - lfq-object 2400\n", + "2024-01-24 15:38:16,790 - directlfq.protein_intensity_estimation - INFO - lfq-object 1600\n", + "2024-01-24 15:38:16,976 - directlfq.protein_intensity_estimation - INFO - lfq-object 2900\n", + "2024-01-24 15:38:17,994 - directlfq.protein_intensity_estimation - INFO - lfq-object 1900\n", + "2024-01-24 15:38:18,791 - directlfq.protein_intensity_estimation - INFO - lfq-object 2600\n", + "2024-01-24 15:38:19,900 - directlfq.protein_intensity_estimation - INFO - lfq-object 2100\n", + "2024-01-24 15:38:20,206 - directlfq.protein_intensity_estimation - INFO - lfq-object 2800\n", + "2024-01-24 15:38:22,329 - directlfq.protein_intensity_estimation - INFO - lfq-object 2500\n", + "2024-01-24 15:38:22,951 - directlfq.protein_intensity_estimation - INFO - lfq-object 2300\n", + "2024-01-24 15:38:23,002 - directlfq.protein_intensity_estimation - INFO - lfq-object 3100\n", + "2024-01-24 15:38:24,256 - directlfq.protein_intensity_estimation - INFO - lfq-object 3300\n", + "2024-01-24 15:38:24,998 - directlfq.protein_intensity_estimation - INFO - lfq-object 3600\n", + "2024-01-24 15:38:25,325 - directlfq.protein_intensity_estimation - INFO - lfq-object 3000\n", + "2024-01-24 15:38:26,062 - directlfq.protein_intensity_estimation - INFO - lfq-object 4300\n", + "2024-01-24 15:38:26,949 - directlfq.protein_intensity_estimation - INFO - lfq-object 3500\n", + "2024-01-24 15:38:27,546 - directlfq.protein_intensity_estimation - INFO - lfq-object 3800\n", + "2024-01-24 15:38:28,015 - directlfq.protein_intensity_estimation - INFO - lfq-object 4500\n", + "2024-01-24 15:38:28,850 - directlfq.protein_intensity_estimation - INFO - lfq-object 4000\n", + "2024-01-24 15:38:30,336 - directlfq.protein_intensity_estimation - INFO - lfq-object 4200\n", + "2024-01-24 15:38:31,026 - directlfq.protein_intensity_estimation - INFO - lfq-object 3200\n", + "2024-01-24 15:38:31,512 - directlfq.protein_intensity_estimation - INFO - lfq-object 4700\n", + "2024-01-24 15:38:31,712 - directlfq.protein_intensity_estimation - INFO - lfq-object 3700\n", + "2024-01-24 15:38:31,984 - directlfq.protein_intensity_estimation - INFO - lfq-object 3400\n", + "2024-01-24 15:38:33,563 - directlfq.protein_intensity_estimation - INFO - lfq-object 3900\n", + "2024-01-24 15:38:34,426 - directlfq.protein_intensity_estimation - INFO - lfq-object 4400\n", + "2024-01-24 15:38:34,877 - directlfq.protein_intensity_estimation - INFO - lfq-object 4600\n", + "2024-01-24 15:38:34,969 - directlfq.protein_intensity_estimation - INFO - lfq-object 5200\n", + "2024-01-24 15:38:35,631 - directlfq.protein_intensity_estimation - INFO - lfq-object 4100\n", + "2024-01-24 15:38:37,097 - directlfq.protein_intensity_estimation - INFO - lfq-object 5100\n", + "2024-01-24 15:38:37,136 - directlfq.protein_intensity_estimation - INFO - lfq-object 4900\n", + "2024-01-24 15:38:37,433 - directlfq.protein_intensity_estimation - INFO - lfq-object 4800\n", + "2024-01-24 15:38:37,552 - directlfq.protein_intensity_estimation - INFO - lfq-object 5400\n", + "2024-01-24 15:38:39,434 - directlfq.protein_intensity_estimation - INFO - lfq-object 6100\n", + "2024-01-24 15:38:40,007 - directlfq.protein_intensity_estimation - INFO - lfq-object 5300\n", + "2024-01-24 15:38:40,316 - directlfq.protein_intensity_estimation - INFO - lfq-object 5600\n", + "2024-01-24 15:38:41,126 - directlfq.protein_intensity_estimation - INFO - lfq-object 5800\n", + "2024-01-24 15:38:41,286 - directlfq.protein_intensity_estimation - INFO - lfq-object 6300\n", + "2024-01-24 15:38:42,163 - directlfq.protein_intensity_estimation - INFO - lfq-object 5500\n", + "2024-01-24 15:38:42,876 - directlfq.protein_intensity_estimation - INFO - lfq-object 6000\n", + "2024-01-24 15:38:43,328 - directlfq.protein_intensity_estimation - INFO - lfq-object 5000\n", + "2024-01-24 15:38:43,340 - directlfq.protein_intensity_estimation - INFO - lfq-object 6500\n", + "2024-01-24 15:38:44,505 - directlfq.protein_intensity_estimation - INFO - lfq-object 6200\n", + "2024-01-24 15:38:44,923 - directlfq.protein_intensity_estimation - INFO - lfq-object 7000\n", + "2024-01-24 15:38:45,084 - directlfq.protein_intensity_estimation - INFO - lfq-object 6700\n", + "2024-01-24 15:38:45,148 - directlfq.protein_intensity_estimation - INFO - lfq-object 5900\n", + "2024-01-24 15:38:45,187 - directlfq.protein_intensity_estimation - INFO - lfq-object 5700\n", + "2024-01-24 15:38:45,590 - directlfq.protein_intensity_estimation - INFO - lfq-object 6400\n", + "2024-01-24 15:38:46,553 - directlfq.protein_intensity_estimation - INFO - lfq-object 6600\n", + "2024-01-24 15:38:46,812 - directlfq.protein_intensity_estimation - INFO - lfq-object 6900\n", + "2024-01-24 15:38:47,338 - directlfq.protein_intensity_estimation - INFO - lfq-object 7100\n", + "2024-01-24 15:38:47,656 - directlfq.protein_intensity_estimation - INFO - lfq-object 6800\n", + "2024-01-24 15:39:00,383 - directlfq.lfq_manager - INFO - Writing results files.\n", + "2024-01-24 15:39:04,567 - directlfq.lfq_manager - INFO - Analysis finished!\n" ] } ], @@ -311,7 +311,7 @@ " result = getattr(ufunc, method)(*inputs, **kwargs)\n", "/Users/constantin/opt/anaconda3/envs/directlfq/lib/python3.8/site-packages/pandas/core/arraylike.py:402: RuntimeWarning: divide by zero encountered in log2\n", " result = getattr(ufunc, method)(*inputs, **kwargs)\n", - "/var/folders/wb/j08kzzbd2hd8838tn3ll0jfm0000gn/T/ipykernel_21299/834223692.py:52: UserWarning: FixedFormatter should only be used together with FixedLocator\n", + "/var/folders/wb/j08kzzbd2hd8838tn3ll0jfm0000gn/T/ipykernel_85047/834223692.py:52: UserWarning: FixedFormatter should only be used together with FixedLocator\n", " ax.set_yticklabels( ytick_vals)\n" ] }, @@ -404,7 +404,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [ { From 89464dcbbde244d86c12798fd68c11e67debd7d1 Mon Sep 17 00:00:00 2001 From: ammarcsj <70114795+ammarcsj@users.noreply.github.com> Date: Wed, 24 Jan 2024 15:46:14 +0100 Subject: [PATCH 5/7] remove --- ...ides_leading_razor_protein.aq_reformat.tsv | 995 ------------------ 1 file changed, 995 deletions(-) delete mode 100644 test_data/unit_tests/input_table_formats/mq_peptides.txt.maxquant_peptides_leading_razor_protein.aq_reformat.tsv diff --git a/test_data/unit_tests/input_table_formats/mq_peptides.txt.maxquant_peptides_leading_razor_protein.aq_reformat.tsv 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SEQ_ADLPVEPVK_MOD_966.5386_ 181590000 36618000 33595000 231190000 230690000 140320000 147540000 34319000 39661000 172790000 38101000 33527000 -Q9BTY7 SEQ_ADLQAAAVR_MOD_913.49813_ 138670000 182870000 83721000 75526000 121290000 116540000 0 141300000 174590000 123880000 160230000 0 -P77338 SEQ_ADLQAQLDSLNK_MOD_1314.6779_ 0 0 0 0 0 0 0 0 0 0 0 0 -Q15075 SEQ_ADLQNHLDTAQNALQDK_MOD_1893.9181_ 96967000 19151000 27271000 40949000 40949000 0 0 23805000 93927000 400990000 76283000 0 From e2b93ee47a8dcc7bc85a9982530a4f4ac4faf6fb Mon Sep 17 00:00:00 2001 From: ammarcsj <70114795+ammarcsj@users.noreply.github.com> Date: Wed, 24 Jan 2024 15:46:27 +0100 Subject: [PATCH 6/7] ignore testfiles --- .gitignore | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.gitignore b/.gitignore index 23181c7..ddc7c82 100644 --- a/.gitignore +++ b/.gitignore @@ -193,3 +193,5 @@ _proc/ sandbox/ test_data/unit_tests/input_table_formats/spectronaut.frgions.large.tsv.tmp.longformat.columnfilt.tsv +test_data/unit_tests/input_table_formats/diann.tsv.diann_protein.aq_reformat.tsv +test_data/unit_tests/input_table_formats/mq_peptides.txt.maxquant_peptides_leading_razor_protein.aq_reformat.tsv From 8522865e5bfad534f4ef013d3a93d8bd1e757d32 Mon Sep 17 00:00:00 2001 From: ammarcsj <70114795+ammarcsj@users.noreply.github.com> Date: Wed, 24 Jan 2024 15:46:39 +0100 Subject: [PATCH 7/7] =?UTF-8?q?Bump=20version:=200.2.16=20=E2=86=92=200.2.?= =?UTF-8?q?17?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- directlfq/__init__.py | 2 +- misc/bumpversion.cfg | 2 +- release/one_click_linux_gui/control | 2 +- release/one_click_linux_gui/create_installer_linux.sh | 2 +- release/one_click_macos_gui/Info.plist | 4 ++-- release/one_click_macos_gui/create_installer_macos.sh | 4 ++-- release/one_click_macos_gui/distribution.xml | 2 +- release/one_click_windows_gui/create_installer_windows.sh | 2 +- release/one_click_windows_gui/directlfq_innoinstaller.iss | 2 +- settings.ini | 2 +- 10 files changed, 12 insertions(+), 12 deletions(-) diff --git a/directlfq/__init__.py b/directlfq/__init__.py index 33ee896..5db724c 100644 --- a/directlfq/__init__.py +++ b/directlfq/__init__.py @@ -2,7 +2,7 @@ __project__ = "directlfq" -__version__ = "0.2.16" +__version__ = "0.2.17" __license__ = "Apache" __description__ = "An open-source Python package of the AlphaPept ecosystem" __author__ = "Mann Labs" diff --git a/misc/bumpversion.cfg b/misc/bumpversion.cfg index 4c54d50..baf59e9 100644 --- a/misc/bumpversion.cfg +++ b/misc/bumpversion.cfg @@ -1,5 +1,5 @@ [bumpversion] -current_version = 0.2.16 +current_version = 0.2.17 commit = True tag = False parse = (?P\d+)\.(?P\d+)\.(?P\d+)(\-(?P[a-z]+)(?P\d+))? diff --git a/release/one_click_linux_gui/control b/release/one_click_linux_gui/control index 766e804..d495b51 100644 --- a/release/one_click_linux_gui/control +++ b/release/one_click_linux_gui/control @@ -1,5 +1,5 @@ Package: directlfq -Version: 0.2.16 +Version: 0.2.17 Architecture: all Maintainer: Mann Labs Description: directlfq diff --git a/release/one_click_linux_gui/create_installer_linux.sh b/release/one_click_linux_gui/create_installer_linux.sh index 3867aa0..1038116 100644 --- a/release/one_click_linux_gui/create_installer_linux.sh +++ b/release/one_click_linux_gui/create_installer_linux.sh @@ -17,7 +17,7 @@ python setup.py sdist bdist_wheel # Setting up the local package cd release/one_click_linux_gui # Make sure you include the required extra packages and always use the stable or very-stable options! -pip install "../../dist/directlfq-0.2.16-py3-none-any.whl[stable, gui]" +pip install "../../dist/directlfq-0.2.17-py3-none-any.whl[stable, gui]" # Creating the stand-alone pyinstaller folder pip install pyinstaller==4.10 diff --git a/release/one_click_macos_gui/Info.plist b/release/one_click_macos_gui/Info.plist index dd912ba..bf1fc74 100644 --- a/release/one_click_macos_gui/Info.plist +++ b/release/one_click_macos_gui/Info.plist @@ -9,9 +9,9 @@ CFBundleIconFile alpha_logo.icns CFBundleIdentifier - directlfq.0.2.16 + directlfq.0.2.17 CFBundleShortVersionString - 0.2.16 + 0.2.17 CFBundleInfoDictionaryVersion 6.0 CFBundleName diff --git a/release/one_click_macos_gui/create_installer_macos.sh b/release/one_click_macos_gui/create_installer_macos.sh index 843455d..dd892cc 100755 --- a/release/one_click_macos_gui/create_installer_macos.sh +++ b/release/one_click_macos_gui/create_installer_macos.sh @@ -20,7 +20,7 @@ python setup.py sdist bdist_wheel # Setting up the local package cd release/one_click_macos_gui -pip install "../../dist/directlfq-0.2.16-py3-none-any.whl[stable, gui]" +pip install "../../dist/directlfq-0.2.17-py3-none-any.whl[stable, gui]" # Creating the stand-alone pyinstaller folder pip install pyinstaller==4.10 @@ -40,5 +40,5 @@ cp ../../LICENSE Resources/LICENSE cp ../logos/alpha_logo.png Resources/alpha_logo.png chmod 777 scripts/* -pkgbuild --root dist/directlfq --identifier de.mpg.biochem.directlfq.app --version 0.2.16 --install-location /Applications/directlfq.app --scripts scripts directlfq.pkg +pkgbuild --root dist/directlfq --identifier de.mpg.biochem.directlfq.app --version 0.2.17 --install-location /Applications/directlfq.app --scripts scripts directlfq.pkg productbuild --distribution distribution.xml --resources Resources --package-path directlfq.pkg dist/directlfq_gui_installer_macos.pkg diff --git a/release/one_click_macos_gui/distribution.xml b/release/one_click_macos_gui/distribution.xml index 0a2f3cc..f82ae15 100644 --- a/release/one_click_macos_gui/distribution.xml +++ b/release/one_click_macos_gui/distribution.xml @@ -1,6 +1,6 @@ - directlfq 0.2.16 + directlfq 0.2.17 diff --git a/release/one_click_windows_gui/create_installer_windows.sh b/release/one_click_windows_gui/create_installer_windows.sh index 1e09c04..5bf6f52 100644 --- a/release/one_click_windows_gui/create_installer_windows.sh +++ b/release/one_click_windows_gui/create_installer_windows.sh @@ -17,7 +17,7 @@ python setup.py sdist bdist_wheel # Setting up the local package cd release/one_click_windows_gui # Make sure you include the required extra packages and always use the stable or very-stable options! -pip install "../../dist/directlfq-0.2.16-py3-none-any.whl[stable, gui]" +pip install "../../dist/directlfq-0.2.17-py3-none-any.whl[stable, gui]" # Creating the stand-alone pyinstaller folder pip install pyinstaller==4.10 diff --git a/release/one_click_windows_gui/directlfq_innoinstaller.iss b/release/one_click_windows_gui/directlfq_innoinstaller.iss index fd63e7b..56d8495 100644 --- a/release/one_click_windows_gui/directlfq_innoinstaller.iss +++ b/release/one_click_windows_gui/directlfq_innoinstaller.iss @@ -2,7 +2,7 @@ ; SEE THE DOCUMENTATION FOR DETAILS ON CREATING INNO SETUP SCRIPT FILES! #define MyAppName "directlfq" -#define MyAppVersion "0.2.16" +#define MyAppVersion "0.2.17" #define MyAppPublisher "Max Planck Institute of Biochemistry and the University of Copenhagen, Mann Labs" #define MyAppURL "https://github.com/MannLabs/directlfq" #define MyAppExeName "directlfq_gui.exe" diff --git a/settings.ini b/settings.ini index 8e15b8e..1f97bb9 100644 --- a/settings.ini +++ b/settings.ini @@ -13,7 +13,7 @@ author = Constantin Ammar author_email = constantin.ammar@gmail.com copyright = fast.ai branch = master -version = 0.2.16 +version = 0.2.17 min_python = 3.6 audience = Developers language = English