title: GeneTrack--a genomic data processing and visualization framework.
abstract: 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
authors.affiliation: Huck Institutes for the Life Sciences, Pennsylvania State University, University Park, Pennsylvania, 16802, USA. iual@psu.edu
authors.forename: Istvan
authors.initials: I
authors.lastname: Albert
authors.forename: Shinichiro
authors.initials: S
authors.lastname: Wachi
authors.forename: Cizhong
authors.initials: C
authors.lastname: Jiang
authors.forename: B Franklin
authors.initials: BF
authors.lastname: Pugh
mesh_terms: D000465:Algorithms; D047369:Chromatin Immunoprecipitation / Q000379:methods*; D002874:Chromosome Mapping / Q000379:methods*; D003196:Computer Graphics; D015894:Genome, Human / Q000235:genetics*; D006801:Humans; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software; D014584:User-Computer Interface