ChIPmeta
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Application data |
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| Biological application domain(s) | Transcription factors and regulatory sites, ChIP-seq, ChIP-on-chip |
|---|---|
| Principal bioinformatics method(s) | Peak calling |
| Maintained? | Maybe |
| Interface type(s) | Command line |
| Resource type(s) | Command-line tool |
Summary: Combining data from ChIP-seq and ChIP-chip.
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In HHMM, inference results from individual HMMs in ChIP-seq and ChIP-chip experiments are summarized by a higher level HMM. Simulation studies show the advantage of HHMM when data from both technologies co-exist. Analysis of two well-studied transcription factors, NRSF and CTCF, also suggests that HHMM yields improved TFBS identification in comparison to analyses using individual data sources or a simple merger of the two.
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