- Unique identifier:
- Software type:
- Restrictions to use:
- Programming languages:
- Computer skills:
- Zero-Inflated Negative Binomial Algorithm
- Command line interface
- Operating system:
- Unix/Linux, Mac OS, Windows
- GNU General Public License version 2.0
- Jason Lieb <>
- Wei Sun <>
No open topic.
(Rashid et al., 2011)
ZINBA integrates local covariates with DNA-seq data to identify broad and narrow regions of enrichment, even within amplified genomic regions.
PMID: 21787385 DOI: 10.1186/gb-2011-12-7-r67
Department of Biostatistics, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Biology, Carolina Center for Genome Sciences, and Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Genetics and School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Supported by the NIH Biostatistics Training Grant in Cancer Genomics and NIH grants Bayesian Approaches to Model Selection for Survival Data (GM70335), Inference with Missing Covariates in Regression Models (CA74015), and ENCODE grant U54 HG004563.
1 user review
1 user review
Too many files to generate for each experiment (very time consuming!) for a result far from satisfying.
To balance my comment, I have to say that I used ZINBA on FAIRE-seq which is relatively more noisy compared to ChIP-seq.
But another black point is that there is almost no support for a lot issues and instabilities.
For FAIRE-seq I would prefer Fseq and for ChIP-seq I would prefer MACS.