Introduction

We present MUSIC, a signal processing approach for identification of enriched regions in ChIP-Seq data, available atmusic.gersteinlab.org. MUSIC first filters the ChIP-Seq read-depth signal for systematic noise from non-uniformmappability, which fragments enriched regions. Then it performs a multiscale decomposition, using median filtering, identifying enriched regions at multiple length scales. This is useful given the wide range of scales probed in ChIP-Seq assays. MUSIC performs favorably in terms of accuracy and reproducibility compared with other methods.In particular, analysis of RNA polymerase II data reveals a clear distinction between the stalled and elongating forms of the polymerase.

Publications

  1. MUSIC: identification of enriched regions in ChIP-Seq experiments using a mappability-corrected multiscale signal processing framework.
    Cite this
    Harmanci A, Rozowsky J, Gerstein M, 2014-01-01 - Genome biology

Credits

  1. Arif Harmanci
    Developer

    Program in Computational Biology and Bioinformatics, Yale University, United States of America

  2. Joel Rozowsky
    Developer

  3. Mark Gerstein
    Investigator

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Summary
AccessionBT001673
Tool TypeApplication
Category
PlatformsLinux/Unix
TechnologiesC, C++
User InterfaceTerminal Command Line
Download Count0
Submitted ByMark Gerstein