Relating genes to function: identifying enriched transcription factors using the ENCODE ChIP-Seq significance tool
Motivation: Biological analysis has shifted from identifying genes and transcripts to mapping these genes and transcripts to biological functions. The ENCODE Project has generated hundreds of ChIP-Seq experiments spanning multiple transcription factors and cell lines for public use, but tools for a...
| Main Authors: | , , |
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| Format: | Online |
| Language: | English |
| Published: |
Oxford University Press
2013
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3712221/ |
| Summary: | Motivation: Biological analysis has shifted from identifying genes and transcripts to mapping these genes and transcripts to biological functions. The ENCODE Project has generated hundreds of ChIP-Seq experiments spanning multiple transcription factors and cell lines for public use, but tools for a biomedical scientist to analyze these data are either non-existent or tailored to narrow biological questions. We present the ENCODE ChIP-Seq Significance Tool, a flexible web application leveraging public ENCODE data to identify enriched transcription factors in a gene or transcript list for comparative analyses. |
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