update readme for 1.5.1

Author: wbaopaul

README.md

@@ -51,8 +51,8 @@ Updates
 - Now provide [scATAC-pro tutorial in R](https://scatacpro-in-r.netlify.app/index.html) for access QC metrics and perform downstream analysis
 - Current version: 1.5.1
 - Highlighted updates
-    * *integrate* module takes input as a SampleSheet.csv file (since v1.5.1), in which sample names, paths for peaks, fragments and cell barcodes for each sample can be specified. Other parameters for integration are specified in the configure_user.txt file
-    * **New module *reprocess_cellranger_output* added, to reprocess 10x scATAC-seq data (including atac in 10x multiome assay) originally processed by cellranger, taking cellranger processed .bam and .fragments.tsv.gz files as input (v1.4.3)**
+    * **integrate** module takes input as a [SanokeSheet.csv](SampleSheet.csv file) (since v1.5.1), in which sample names, paths of peaks, fragments and cell barcodes files for each sample can be specified. Other parameters for integration are specified in the [configure_user](configure_user.txt) file
+    * New module **reprocess_cellranger_output** added, to reprocess 10x scATAC-seq data (including atac in 10x multiome assay) originally processed by cellranger, taking cellranger processed .bam and .fragments.tsv.gz files as input (v1.4.3)
     * More friendly to single-end sequencing data (v1.4.2)
     * New module *labelTransfer* added, to do label trasfer (for cell annotation) from cell annotation of scRNA-seq data. First construct a gene by cell activity matrix, then use *FindTransferAnchors* and *TransferData* function from Seurat R package to predicted cell type annotation from the cell annotaiton in scRNA-seq data (v1.4.0)
     * New module *rmDoublets* added,to remove potential doublets using [DoubletFinder](https://github.com/chris-mcginnis-ucsf/DoubletFinder) algorithm (v1.3.1)

complete_update_history.md

@@ -1,6 +1,6 @@
 ## Complete Update History
 - Version 1.5.1 
-    * *Integrate* module takes SampleSheet.csv file as input, where sample names, paths for peaks, fragments, and cell barcodes can be specified
+    * *Integrate* module takes SampleSheet.csv file as input, where sample names, paths of peaks, fragments, and cell barcodes can be specified
     * Enable 4/5 bp shift for each read by setting SHIFT_READS_IN_BAM as TRUE in configure_user.txt file
     * Correctted an error for single-end sequencing data in the mapping module
 - Version 1.5.0 released