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. © The Author 2008. Published by Oxford University Press. All rights reserved.
Cite
CITATION STYLE
Albert, I., Wachi, S., Jiang, C., & Pugh, B. F. (2008). GeneTrack - A genomic data processing and visualization framework. Bioinformatics, 24(10), 1305–1306. https://doi.org/10.1093/bioinformatics/btn119
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.