Tweet
Syndicated from PubMed RSS Feeds
ZINBA integrates local covariates with DNA-seq data to identify broad and narrow regions of enrichment, even within amplified genomic regions.
Genome Biol. 2011 Jul 25;12(7):R67
Authors: Rashid N, Giresi PG, Ibrahim JG, Sun W, Lieb JD
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.
PMID: 21787385 [PubMed - as supplied by publisher]
More...
ZINBA integrates local covariates with DNA-seq data to identify broad and narrow regions of enrichment, even within amplified genomic regions.
Genome Biol. 2011 Jul 25;12(7):R67
Authors: Rashid N, Giresi PG, Ibrahim JG, Sun W, Lieb JD
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.
PMID: 21787385 [PubMed - as supplied by publisher]
More...