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National Institute of Environmental Health Sciences

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Publication Detail

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

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

Published In Genome Biol, (2011)

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.

PubMed ID: 21787385 Exiting the NIEHS site

MeSH Terms: No MeSH terms associated with this publication

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