Literature DB >> 19098449

Epigenetics meets next-generation sequencing.

Peter J Park1.   

Abstract

Next-generation sequencing is poised to unleash dramatic changes in every area of molecular biology. In the past few years, chromatin immunoprecipitation (ChIP) on tiled microarrays (ChIP-chip) has been an important tool for genome-wide mapping of DNA-binding proteins or histone modifications. Now, ChIP followed by direct sequencing of DNA fragments (ChIP-seq) offers superior data with less noise and higher resolution and is likely to replace ChIP-chip in the near future. We will describe advantages of this new technology and outline some of the issues in dealing with the data. ChIP-seq generates considerably larger quantities of data and the most challenging aspect for investigators will be computational and statistical analysis necessary to uncover biological insights hidden in the data.

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Year:  2008        PMID: 19098449     DOI: 10.4161/epi.3.6.7249

Source DB:  PubMed          Journal:  Epigenetics        ISSN: 1559-2294            Impact factor:   4.528


  14 in total

1.  Expanding roles in a library-based bioinformatics service program: a case study.

Authors:  Meng Li; Yi-Bu Chen; William A Clintworth
Journal:  J Med Libr Assoc       Date:  2013-10

Review 2.  Epigenetic factors in aging and longevity.

Authors:  Silvia Gravina; Jan Vijg
Journal:  Pflugers Arch       Date:  2009-09-19       Impact factor: 3.657

3.  Why are we where we are? Understanding replication origins and initiation sites in eukaryotes using ChIP-approaches.

Authors:  Aloys Schepers; Peer Papior
Journal:  Chromosome Res       Date:  2010-01       Impact factor: 5.239

Review 4.  Epigenetics in sports.

Authors:  Tobias Ehlert; Perikles Simon; Dirk A Moser
Journal:  Sports Med       Date:  2013-02       Impact factor: 11.136

5.  Chromatin remodeling in the aging genome of Drosophila.

Authors:  Jason G Wood; Sara Hillenmeyer; Charles Lawrence; Chengyi Chang; Suzanne Hosier; Will Lightfoot; Eric Mukherjee; Nan Jiang; Christoph Schorl; Alexander S Brodsky; Nicola Neretti; Stephen L Helfand
Journal:  Aging Cell       Date:  2010-10-21       Impact factor: 9.304

Review 6.  Genetics of psychiatric disorders methods: molecular approaches.

Authors:  Dimitrios Avramopoulos
Journal:  Psychiatr Clin North Am       Date:  2010-03

Review 7.  Assaying the epigenome in limited numbers of cells.

Authors:  William J Greenleaf
Journal:  Methods       Date:  2014-10-22       Impact factor: 3.608

8.  Hierarchical hidden Markov model with application to joint analysis of ChIP-chip and ChIP-seq data.

Authors:  Hyungwon Choi; Alexey I Nesvizhskii; Debashis Ghosh; Zhaohui S Qin
Journal:  Bioinformatics       Date:  2009-05-14       Impact factor: 6.937

9.  HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data.

Authors:  Zhaohui S Qin; Jianjun Yu; Jincheng Shen; Christopher A Maher; Ming Hu; Shanker Kalyana-Sundaram; Jindan Yu; Arul M Chinnaiyan
Journal:  BMC Bioinformatics       Date:  2010-07-02       Impact factor: 3.169

10.  Enrichment of cis-regulatory gene expression SNPs and methylation quantitative trait loci among bipolar disorder susceptibility variants.

Authors:  E R Gamazon; J A Badner; L Cheng; C Zhang; D Zhang; N J Cox; E S Gershon; J R Kelsoe; T A Greenwood; C M Nievergelt; C Chen; R McKinney; P D Shilling; N J Schork; E N Smith; C S Bloss; J I Nurnberger; H J Edenberg; T Foroud; D L Koller; W A Scheftner; W Coryell; J Rice; W B Lawson; E A Nwulia; M Hipolito; W Byerley; F J McMahon; T G Schulze; W H Berrettini; J B Potash; P P Zandi; P B Mahon; M G McInnis; S Zöllner; P Zhang; D W Craig; S Szelinger; T B Barrett; C Liu
Journal:  Mol Psychiatry       Date:  2012-01-03       Impact factor: 15.992

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