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ZINBA integrates local covariates with DNA-seq data to identify broad and narrow regions of enrichment, even within amplified genomic regions

Creators: Rashid, Naim U, Giresi, Paul G, Ibrahim, Joseph G, Sun, Wei, Lieb, Jason D

  • File Type: pdf | Filesize: 1.5 MB
  • Date Deposited: 2012-08-23
  • Date Created: 2011-07-25

Abstract ZINBA (Zero-Inflated Negative Binomial Algorithm) identifies genomic regions enriched in a variety of ChIP-seq and related next-generation sequencing experiments (DNA-seq), calling both broad and narrow modes of enrichment across a range of signal-to-noise ratios. ZINBA models and accounts for factors that co-vary with background or experimental signal, such as G/C content, and identifies enrichment in genomes with complex local copy number variations. ZINBA provides a single unified framework for analyzing DNA-seq experiments in challenging genomic contexts. Software website: