1.4.4 released

README.md

@@ -51,7 +51,7 @@ 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: 1.4.4
 - Highlighted updates
-    * **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 (v1.4.4)**
+    * **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)