CHANCE: comprehensive software for quality control and validation of ChIP-seq data

Aaron Diaz, Abhinav Nellore, Jun S. Song

Research output: Contribution to journalArticlepeer-review

Abstract

ChIP-seq is a powerful method for obtaining genome-wide maps of protein-DNA interactions and epigeneticmodications. CHANCE (CHip-seq ANalytics and Condence Estimation) is a standalone package for ChIP-seqquality control and protocol optimization. Our user-friendly graphical software quickly estimates the strengthand quality of immunoprecipitations, identies biases, compares the user's data with ENCODE's large collectionof published datasets, performs multi-sample normalization, checks against qPCR-validated control regions, andproduces informative graphical reports. CHANCE is available at https://github.com/songlab/chance.

Original languageEnglish (US)
Pages (from-to)R98
JournalGenome biology
Volume13
Issue number10
DOIs
StatePublished - 2012
Externally publishedYes

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Cell Biology

Fingerprint

Dive into the research topics of 'CHANCE: comprehensive software for quality control and validation of ChIP-seq data'. Together they form a unique fingerprint.

Cite this