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Shape-based peak identification for ChIP-Seq
Authors:Valerie Hower  Steven N Evans  Lior Pachter
Institution:(1) Department of Mathematics, University of California, Berkeley, California, USA;(2) Department of Statistics, University of California, Berkeley, California, USA;(3) Department of Molecular and Cell Biology, University of California, Berkeley, California, USA
Abstract:

Background  

The identification of binding targets for proteins using ChIP-Seq has gained popularity as an alternative to ChIP-chip. Sequencing can, in principle, eliminate artifacts associated with microarrays, and cheap sequencing offers the ability to sequence deeply and obtain a comprehensive survey of binding. A number of algorithms have been developed to call "peaks" representing bound regions from mapped reads. Most current algorithms incorporate multiple heuristics, and despite much work it remains difficult to accurately determine individual peaks corresponding to distinct binding events.
Keywords:
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