MOCHA's advanced statistical modeling of scATAC-seq data enables functional genomic inference in large human cohorts.

ABSTRACT: Single-cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) is being increasingly used to study gene regulation. However, major analytical gaps limit its utility in studying gene regulatory programs in complex diseases. In response, MOCHA (Model-based single cell Open CHromatin Analysis) presents major advances over existing analysis tools, including: 1) improving identification of sample-specific open chromatin, 2) statistical modeling of technical drop-out with zero-inflated methods, 3) mitigation of false positives in single cell analysis, 4) identification of alternative transcription-starting-site regulation, and 5) modules for inferring temporal gene regulatory networks from longitudinal data. These advances, in addition to open chromatin analyses, provide a

SUBMITTER: Rachid Zaim S 

PROVIDER: S-EPMC11316085 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature