Publication Date:
2012-11-29
Description:
: We propose a parametric model, HiCNorm, to remove systematic biases in the raw Hi-C contact maps, resulting in a simple, fast, yet accurate normalization procedure. Compared with the existing Hi-C normalization method developed by Yaffe and Tanay, HiCNorm has fewer parameters, runs 〉1000 times faster and achieves higher reproducibility. Availability: Freely available on the web at: http://www.people.fas.harvard.edu/~junliu/HiCNorm/ . Contact: jliu@stat.harvard.edu Supplementary information : Supplementary data are available at Bioinformatics online.
Print ISSN:
1367-4803
Electronic ISSN:
1460-2059
Topics:
Biology
,
Computer Science
,
Medicine
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