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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

Year: 2011
Type: article
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.
DOI: 10.1186/gb-2011-12-7-r67
Language: English
Open Access status: gold
Estimated APC paid: $5,490
Funders: Broad Institute, National Institutes of Health, National Human Genome Research Institute, National Cancer Institute, National Institute of General Medical Sciences, National Institute of Environmental Health Sciences
Awards: G1120096130, G138073231, Comprehensive Identification of Active Functional Elements in Human Chromatin, Inference in Regression Models with Missing Covariates, Bayesian Approaches to Model Selection for Survival Data, G9000351794, Biostatistics for Research in Genomics and Cancer, UNC Center for Environmental Health and Susceptibility, G966564617
OpenAlex ID: W2095855903
FWCI: 6.702
Cites: 45
Cited by: 180
Related to: 10