Spark library for feature selection in multiomics using

Quantitative mass spectrometry workflow. Currently supports proteomics experiments with complex experimental designs for DDA-LFQ, DDA-Isobaric and DIA-LFQ quantification.

The proteomics quantification format, extending mzTab for large scale datasets.

The Proteomics sample metadata: Standard for experimental design annotation in proteomics datasets

A python library with scripts and helpers classes for quantms workflow

Absolute quantification package based on quantms.io

A repository to convert SDRF proteomics files into pipelines config files

A library for QC report based on MultiQC framework

A Deep LEArning-based Mass Spectra Embedder for spectral similarity scoring

sdrf-cls