Difference between revisions of "ChIPmeta"

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{{Bioinformatics application
 
{{Bioinformatics application
 
|sw summary=Combining data from ChIP-seq and ChIP-chip.
 
|sw summary=Combining data from ChIP-seq and ChIP-chip.
|bio domain=Transcription Factor Binding Site identification, ChIP-Seq, ChIP-Chip,  
+
|bio domain=Transcription Factor Binding Site identification, ChIP-Seq, ChIP-Chip,
|bio method=Hierarchical Hidden Markov Model
+
|bio method=Hidden Markov Model
 
}}
 
}}
 
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.
 
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.

Revision as of 21:47, 28 December 2009

Application data

Biological application domain(s) Transcription Factor Binding Site identification, ChIP-Seq, ChIP-Chip
Principal bioinformatics method(s) Hidden Markov Model
Maintained? Maybe

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.