From 90579e5dca1b5924abd63925a408dfabfe43c0cd Mon Sep 17 00:00:00 2001 From: wbaopaul Date: Thu, 24 Mar 2022 11:40:07 -0400 Subject: [PATCH] 1.4.4 released --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a7dba89..873782d 100644 --- a/README.md +++ b/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)