HiCNorm: removing biases in Hi-C data via Poisson regression
نویسندگان
چکیده
SUMMARY 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 [email protected] SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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عنوان ژورنال:
- Bioinformatics
دوره 28 23 شماره
صفحات -
تاریخ انتشار 2012