Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
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Updated
May 22, 2024 - Python
Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
<<------ Use SnapATAC!!
SCRIP(Single Cell Regulatory network Inference using ChIP-seq) is a tool for evaluating the binding enrichment of specific TR at single-cell resolution based on scATAC-seq.
One single-cell pipeline to rule them all, one pipeline to find them, one pipeline to unify them all, and with the data bind them.
Comparison of the performance of AMULET and modified Scrublet on doublet removal in the CEMBA2.0 project.
Workflow to identify functional cis-regulatory regions for each annotated cell type
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