scCopyATAC A computational method for delineating copy number and clonal substructure from tumor single-cell ATAC-seq data without normal reference
Introduction
scCopyATAC, a computational method to detect CNVs and delineat clonal substructure from single cell ATAC sequencing data without normal reference. scCopyATAC has two main steps: scCopyATAC-PRE, scCopyATAC-CNV. scCopyATAC-PRE preprocesses single cell ATAC sequencing data and computes the raw CNV signals matrix. And do clustering for single cell by chromotin accessibility, which is a paperation for next step detecting diploid baseline. Then scCopyATAC-CNV detect potential diploid baseline by gaussian mixture model and redefine raw CNV signals get the final CNV value. scCopyATAC using stand cellranger output as input.
Publications
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Credits
- JiangLab BIG jianglab-gsa@big.ac.cn Investigator
CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, China
Community Ratings
Usability | Efficiency | Reliability | Rated By |
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Accession | BT007370 |
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Tool Type | Pipeline & Protocol |
Category | CNV detection |
Platforms | Linux/Unix |
Technologies | R |
User Interface | Terminal Command Line |
Input Data | FASTA |
Latest Release | 1.0 (July 6, 2023) |
Download Count | 210 |
Country/Region | China |
Submitted By | JiangLab BIG |
This program is supported by Strategic Priority Research Program of Chinese Academy of Sciences (XDB38020500)