ZINBA
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Application data |
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| Created by | Wei Sun, Jason D Lieb |
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| Biological application domain(s) | ChIP-seq, Sequencing |
| Created at | The University of North Carolina at Chapel Hill |
| Maintained? | Yes |
| Input format(s) | BED |
| Licence | GPLv3 |
| Contact: | homeriq5@gmail.com |
Summary: Identifies genomic regions enriched in a variety of ChIP-seq and related next-generation sequencing experiments
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Description
ZINBA (Zero Inflated Negative Binomial Algorithm) is a computational and statistical framework used to call regions of the genome enriched for sequencing reads originating from a diverse array of biological experiments. We collectively refer to the sequencing data derived from these experiments as DNA-seq, including FAIRE-seq, ChIP-seq, and DNAase-seq experiments.
ZINBA makes decisions on whether a region of the genome is truly enriched for sequencing reads versus background signal given a set of factors modeling each type of signal. ZINBA then looks for chromosome-wide patterns of signal and their relationships with these factors in its decision-making process. Sets of factors can be suggested using an automated model selection process.
ZINBA separates the genome into short windows (default 250 bp) and counts the number of reads falling into each window. When ZINBA is making decisions on whether a particular window is enriched over background, this binned representation of the data is utilized.
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