GenoGAM: genome-wide generalized additive models for ChIP-Seq analysis | Zendy

Georg Stricker | Zendy; Alexander Engelhardt | Zendy; Daniel Schulz | Zendy; Matthias Schmid | Zendy; Achim Tresch | Zendy; Julien Gagneur | Zendy

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GenoGAM: genome-wide generalized additive models for ChIP-Seq analysis

Author(s) -

Georg Stricker,

Alexander Engelhardt,

Daniel Schulz,

Matthias Schmid,

Achim Tresch,

Julien Gagneur

Publication year - 2017

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/btx150

Subject(s) - computer science , chip , genome , computational biology , biology , genetics , gene , telecommunications

Chromatin immunoprecipitation followed by deep sequencing (ChIP-Seq) is a widely used approach to study protein-DNA interactions. Often, the quantities of interest are the differential occupancies relative to controls, between genetic backgrounds, treatments, or combinations thereof. Current methods for differential occupancy of ChIP-Seq data rely however on binning or sliding window techniques, for which the choice of the window and bin sizes are subjective.

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