Literature DB >> 20861161

Processing and analyzing ChIP-seq data: from short reads to regulatory interactions.

Marion Leleu1, Grégory Lefebvre, Jacques Rougemont.   

Abstract

Chromatin-immunoprecipitation and sequencing (ChIP-seq) is a rapidly maturing technology that draws on the power of high-throughput short-read sequencing to decipher chromatin states with unprecedented precision and breadth. Although some aspects of the experimental protocol require careful tuning, the bottleneck currently firmly lies with the downstream data analysis. We give an overview of the better-established aspects of genome mapping and data normalization and we describe the more recent progress in peak calling and their statistical analysis and provide a brief overview of popular follow-up analyses such as genomic feature categorization and motif search.

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Year:  2010        PMID: 20861161      PMCID: PMC3080774          DOI: 10.1093/bfgp/elq022

Source DB:  PubMed          Journal:  Brief Funct Genomics        ISSN: 2041-2649            Impact factor:   4.241


  68 in total

1.  An HMM approach to genome-wide identification of differential histone modification sites from ChIP-seq data.

Authors:  Han Xu; Chia-Lin Wei; Feng Lin; Wing-Kin Sung
Journal:  Bioinformatics       Date:  2008-07-29       Impact factor: 6.937

Review 2.  Computation for ChIP-seq and RNA-seq studies.

Authors:  Shirley Pepke; Barbara Wold; Ali Mortazavi
Journal:  Nat Methods       Date:  2009-11       Impact factor: 28.547

3.  F-Seq: a feature density estimator for high-throughput sequence tags.

Authors:  Alan P Boyle; Justin Guinney; Gregory E Crawford; Terrence S Furey
Journal:  Bioinformatics       Date:  2008-09-10       Impact factor: 6.937

4.  FindPeaks 3.1: a tool for identifying areas of enrichment from massively parallel short-read sequencing technology.

Authors:  Anthony P Fejes; Gordon Robertson; Mikhail Bilenky; Richard Varhol; Matthew Bainbridge; Steven J M Jones
Journal:  Bioinformatics       Date:  2008-07-03       Impact factor: 6.937

5.  A compiled and systematic reference map of nucleosome positions across the Saccharomyces cerevisiae genome.

Authors:  Cizhong Jiang; B Franklin Pugh
Journal:  Genome Biol       Date:  2009-10-08       Impact factor: 13.583

6.  Exhaustive search for over-represented DNA sequence motifs with CisFinder.

Authors:  Alexei A Sharov; Minoru S H Ko
Journal:  DNA Res       Date:  2009-09-09       Impact factor: 4.458

7.  An integrated software system for analyzing ChIP-chip and ChIP-seq data.

Authors:  Hongkai Ji; Hui Jiang; Wenxiu Ma; David S Johnson; Richard M Myers; Wing H Wong
Journal:  Nat Biotechnol       Date:  2008-11-02       Impact factor: 54.908

8.  Genome-wide identification of in vivo protein-DNA binding sites from ChIP-Seq data.

Authors:  Raja Jothi; Suresh Cuddapah; Artem Barski; Kairong Cui; Keji Zhao
Journal:  Nucleic Acids Res       Date:  2008-08-06       Impact factor: 16.971

9.  Modeling ChIP sequencing in silico with applications.

Authors:  Zhengdong D Zhang; Joel Rozowsky; Michael Snyder; Joseph Chang; Mark Gerstein
Journal:  PLoS Comput Biol       Date:  2008-08-22       Impact factor: 4.475

10.  Extracting transcription factor targets from ChIP-Seq data.

Authors:  Geetu Tuteja; Peter White; Jonathan Schug; Klaus H Kaestner
Journal:  Nucleic Acids Res       Date:  2009-06-24       Impact factor: 16.971

View more
  8 in total

1.  SigSeeker: a peak-calling ensemble approach for constructing epigenetic signatures.

Authors:  Jens Lichtenberg; Laura Elnitski; David M Bodine
Journal:  Bioinformatics       Date:  2017-09-01       Impact factor: 6.937

2.  Discovering hotspots in functional genomic data superposed on 3D chromatin configuration reconstructions.

Authors:  Daniel Capurso; Henrik Bengtsson; Mark R Segal
Journal:  Nucleic Acids Res       Date:  2016-02-10       Impact factor: 16.971

3.  The ChIP-Seq tools and web server: a resource for analyzing ChIP-seq and other types of genomic data.

Authors:  Giovanna Ambrosini; René Dreos; Sunil Kumar; Philipp Bucher
Journal:  BMC Genomics       Date:  2016-11-18       Impact factor: 3.969

4.  CopR, a Global Regulator of Transcription to Maintain Copper Homeostasis in Pyrococcus furiosus.

Authors:  Felix Grünberger; Robert Reichelt; Ingrid Waege; Verena Ned; Korbinian Bronner; Marcell Kaljanac; Nina Weber; Zubeir El Ahmad; Lena Knauss; M Gregor Madej; Christine Ziegler; Dina Grohmann; Winfried Hausner
Journal:  Front Microbiol       Date:  2021-01-11       Impact factor: 5.640

5.  Predicting the probability of H3K4me3 occupation at a base pair from the genome sequence context.

Authors:  Misook Ha; Soondo Hong; Wen-Hsiung Li
Journal:  Bioinformatics       Date:  2013-03-19       Impact factor: 6.937

6.  A histone arginine methylation localizes to nucleosomes in satellite II and III DNA sequences in the human genome.

Authors:  Daniel Capurso; Hao Xiong; Mark R Segal
Journal:  BMC Genomics       Date:  2012-11-15       Impact factor: 3.969

7.  HTSstation: a web application and open-access libraries for high-throughput sequencing data analysis.

Authors:  Fabrice P A David; Julien Delafontaine; Solenne Carat; Frederick J Ross; Gregory Lefebvre; Yohan Jarosz; Lucas Sinclair; Daan Noordermeer; Jacques Rougemont; Marion Leleu
Journal:  PLoS One       Date:  2014-01-27       Impact factor: 3.240

8.  Fine-tuning of chromatin composition and Polycomb recruitment by two Mi2 homologues during C. elegans early embryonic development.

Authors:  Stéphanie Käser-Pébernard; Catherine Pfefferli; Caroline Aschinger; Chantal Wicky
Journal:  Epigenetics Chromatin       Date:  2016-09-15       Impact factor: 4.954

  8 in total

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