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

    loading  Checking for direct PDF access through Ovid

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.

Related Topics

    loading  Loading Related Articles