GeneTrack - A genomic data processing and visualization framework

Istvan Albert, Shinichiro Wachi, Cizhong Jiang, B. Franklin Pugh

Research output: Contribution to journalArticle

71 Scopus citations

Abstract

Motivation: High-throughput 'ChIP-chip' and 'ChIP-seq' methodologies generate sufficiently large data sets that analysis poses significant informatics challenges, particularly for research groups with modest computational support. To address this challenge, we devised a software platform for storing, analyzing and visualizing high resolution genome-wide binding data. GeneTrack automates several steps of a typical data processing pipeline, including smoothing and peak detection, and facilitates dissemination of the results via the web. Our software is freely available via the Google Project Hosting environment at http://genetrack.googlecode.com.

Original languageEnglish (US)
Pages (from-to)1305-1306
Number of pages2
JournalBioinformatics
Volume24
Issue number10
DOIs
StatePublished - May 2008

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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