GeneTrack—a genomic data processing and visualization framework | Zendy

István Albert | Zendy; Shinichiro Wachi | Zendy; Cizhong Jiang | Zendy; B. Franklin Pugh | Zendy

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GeneTrack—a genomic data processing and visualization framework

Author(s) -

István Albert,

Shinichiro Wachi,

Cizhong Jiang,

B. Franklin Pugh

Publication year - 2008

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btn119

Subject(s) - computer science , pipeline (software) , software , visualization , data mining , smoothing , data visualization , data science , database , software engineering , operating system , computer vision

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

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