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Relating genes to function: identifying enriched transcription factors using the ENCODE ChIP-Seq significance tool.


ABSTRACT: 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. IMPLEMENTATION: The ENCODE ChIP-Seq Significance Tool is written in JavaScript on the client side and has been tested on Google Chrome, Apple Safari and Mozilla Firefox browsers. Server-side scripts are written in PHP and leverage R and a MySQL database. The tool is available at http://encodeqt.stanford.edu. CONTACT: abutte@stanford.edu SUPPLEMENTARY INFORMATION: Supplementary material is available at Bioinformatics online.

SUBMITTER: Auerbach RK 

PROVIDER: S-EPMC3712221 | biostudies-other | 2013 Aug

REPOSITORIES: biostudies-other

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Relating genes to function: identifying enriched transcription factors using the ENCODE ChIP-Seq significance tool.

Auerbach Raymond K RK   Chen Bin B   Butte Atul J AJ  

Bioinformatics (Oxford, England) 20130603 15


<h4>Motivation</h4>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 lever  ...[more]

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