| Literature DB >> 18388141 |
Istvan Albert1, Shinichiro Wachi, Cizhong Jiang, B Franklin Pugh.
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.comMesh:
Year: 2008 PMID: 18388141 PMCID: PMC7058423 DOI: 10.1093/bioinformatics/btn119
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937