Literature DB >> 19588090

Modeling and analysis of ChIP-chip experiments.

Raphael Gottardo1.   

Abstract

Chromatin immunoprecipitation on microarrays, also known as ChIP-chip, is a popular technique for genome-wide localization of DNA-binding proteins. However, the high density (several million genomic sequences for small eukaryote genomes) and the high noise-to-signal ratio of microarrays make the analysis of ChIP-chip data very challenging. In this chapter, we review some of the issues involved in the analysis of ChIP-chip data and present a few statistical methods that can be used to overcome these issues and improve the detection of DNA-protein binding sites.

Mesh:

Year:  2009        PMID: 19588090     DOI: 10.1007/978-1-60327-414-2_9

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  Genome-scale analysis of replication timing: from bench to bioinformatics.

Authors:  Tyrone Ryba; Dana Battaglia; Benjamin D Pope; Ichiro Hiratani; David M Gilbert
Journal:  Nat Protoc       Date:  2011-06-02       Impact factor: 13.491

2.  Direct measurement of DNA affinity landscapes on a high-throughput sequencing instrument.

Authors:  Razvan Nutiu; Robin C Friedman; Shujun Luo; Irina Khrebtukova; David Silva; Robin Li; Lu Zhang; Gary P Schroth; Christopher B Burge
Journal:  Nat Biotechnol       Date:  2011-06-26       Impact factor: 54.908

3.  Modeling DNA affinity landscape through two-round support vector regression with weighted degree kernels.

Authors:  Xiaolei Wang; Hiroyuki Kuwahara; Xin Gao
Journal:  BMC Syst Biol       Date:  2014-12-12
  3 in total

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