Literature DB >> 25741452

Computational methodology for ChIP-seq analysis.

Hyunjin Shin1, Tao Liu1, Xikun Duan2, Yong Zhang2, X Shirley Liu1.   

Abstract

Chromatin immunoprecipitation coupled with massive parallel sequencing (ChIP-seq) is a powerful technology to identify the genome-wide locations of DNA binding proteins such as transcription factors or modified histones. As more and more experimental laboratories are adopting ChIP-seq to unravel the transcriptional and epigenetic regulatory mechanisms, computational analyses of ChIP-seq also become increasingly comprehensive and sophisticated. In this article, we review current computational methodology for ChIP-seq analysis, recommend useful algorithms and workflows, and introduce quality control measures at different analytical steps. We also discuss how ChIP-seq could be integrated with other types of genomic assays, such as gene expression profiling and genome-wide association studies, to provide a more comprehensive view of gene regulatory mechanisms in important physiological and pathological processes.

Entities:  

Year:  2013        PMID: 25741452      PMCID: PMC4346130          DOI: 10.1007/s40484-013-0006-2

Source DB:  PubMed          Journal:  Quant Biol        ISSN: 2095-4689


  151 in total

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2.  Identifying gene regulatory elements by genome-wide recovery of DNase hypersensitive sites.

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Journal:  Proc Natl Acad Sci U S A       Date:  2004-01-19       Impact factor: 11.205

3.  Genome-wide analysis of estrogen receptor binding sites.

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Journal:  Nat Genet       Date:  2006-10-01       Impact factor: 38.330

4.  Distinct and predictive chromatin signatures of transcriptional promoters and enhancers in the human genome.

Authors:  Nathaniel D Heintzman; Rhona K Stuart; Gary Hon; Yutao Fu; Christina W Ching; R David Hawkins; Leah O Barrera; Sara Van Calcar; Chunxu Qu; Keith A Ching; Wei Wang; Zhiping Weng; Roland D Green; Gregory E Crawford; Bing Ren
Journal:  Nat Genet       Date:  2007-02-04       Impact factor: 38.330

5.  Integrative analysis of the Caenorhabditis elegans genome by the modENCODE project.

Authors:  Mark B Gerstein; Zhi John Lu; Eric L Van Nostrand; Chao Cheng; Bradley I Arshinoff; Tao Liu; Kevin Y Yip; Rebecca Robilotto; Andreas Rechtsteiner; Kohta Ikegami; Pedro Alves; Aurelien Chateigner; Marc Perry; Mitzi Morris; Raymond K Auerbach; Xin Feng; Jing Leng; Anne Vielle; Wei Niu; Kahn Rhrissorrakrai; Ashish Agarwal; Roger P Alexander; Galt Barber; Cathleen M Brdlik; Jennifer Brennan; Jeremy Jean Brouillet; Adrian Carr; Ming-Sin Cheung; Hiram Clawson; Sergio Contrino; Luke O Dannenberg; Abby F Dernburg; Arshad Desai; Lindsay Dick; Andréa C Dosé; Jiang Du; Thea Egelhofer; Sevinc Ercan; Ghia Euskirchen; Brent Ewing; Elise A Feingold; Reto Gassmann; Peter J Good; Phil Green; Francois Gullier; Michelle Gutwein; Mark S Guyer; Lukas Habegger; Ting Han; Jorja G Henikoff; Stefan R Henz; Angie Hinrichs; Heather Holster; Tony Hyman; A Leo Iniguez; Judith Janette; Morten Jensen; Masaomi Kato; W James Kent; Ellen Kephart; Vishal Khivansara; Ekta Khurana; John K Kim; Paulina Kolasinska-Zwierz; Eric C Lai; Isabel Latorre; Amber Leahey; Suzanna Lewis; Paul Lloyd; Lucas Lochovsky; Rebecca F Lowdon; Yaniv Lubling; Rachel Lyne; Michael MacCoss; Sebastian D Mackowiak; Marco Mangone; Sheldon McKay; Desirea Mecenas; Gennifer Merrihew; David M Miller; Andrew Muroyama; John I Murray; Siew-Loon Ooi; Hoang Pham; Taryn Phippen; Elicia A Preston; Nikolaus Rajewsky; Gunnar Rätsch; Heidi Rosenbaum; Joel Rozowsky; Kim Rutherford; Peter Ruzanov; Mihail Sarov; Rajkumar Sasidharan; Andrea Sboner; Paul Scheid; Eran Segal; Hyunjin Shin; Chong Shou; Frank J Slack; Cindie Slightam; Richard Smith; William C Spencer; E O Stinson; Scott Taing; Teruaki Takasaki; Dionne Vafeados; Ksenia Voronina; Guilin Wang; Nicole L Washington; Christina M Whittle; Beijing Wu; Koon-Kiu Yan; Georg Zeller; Zheng Zha; Mei Zhong; Xingliang Zhou; Julie Ahringer; Susan Strome; Kristin C Gunsalus; Gos Micklem; X Shirley Liu; Valerie Reinke; Stuart K Kim; LaDeana W Hillier; Steven Henikoff; Fabio Piano; Michael Snyder; Lincoln Stein; Jason D Lieb; Robert H Waterston
Journal:  Science       Date:  2010-12-22       Impact factor: 47.728

6.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

7.  Tablet--next generation sequence assembly visualization.

Authors:  Iain Milne; Micha Bayer; Linda Cardle; Paul Shaw; Gordon Stephen; Frank Wright; David Marshall
Journal:  Bioinformatics       Date:  2009-12-04       Impact factor: 6.937

8.  Androgen receptor regulates a distinct transcription program in androgen-independent prostate cancer.

Authors:  Qianben Wang; Wei Li; Yong Zhang; Xin Yuan; Kexin Xu; Jindan Yu; Zhong Chen; Rameen Beroukhim; Hongyun Wang; Mathieu Lupien; Tao Wu; Meredith M Regan; Clifford A Meyer; Jason S Carroll; Arjun Kumar Manrai; Olli A Jänne; Steven P Balk; Rohit Mehra; Bo Han; Arul M Chinnaiyan; Mark A Rubin; Lawrence True; Michelangelo Fiorentino; Christopher Fiore; Massimo Loda; Philip W Kantoff; X Shirley Liu; Myles Brown
Journal:  Cell       Date:  2009-07-23       Impact factor: 41.582

9.  The UCSC Genome Browser database: update 2011.

Authors:  Pauline A Fujita; Brooke Rhead; Ann S Zweig; Angie S Hinrichs; Donna Karolchik; Melissa S Cline; Mary Goldman; Galt P Barber; Hiram Clawson; Antonio Coelho; Mark Diekhans; Timothy R Dreszer; Belinda M Giardine; Rachel A Harte; Jennifer Hillman-Jackson; Fan Hsu; Vanessa Kirkup; Robert M Kuhn; Katrina Learned; Chin H Li; Laurence R Meyer; Andy Pohl; Brian J Raney; Kate R Rosenbloom; Kayla E Smith; David Haussler; W James Kent
Journal:  Nucleic Acids Res       Date:  2010-10-18       Impact factor: 16.971

10.  Design and analysis of ChIP-seq experiments for DNA-binding proteins.

Authors:  Peter V Kharchenko; Michael Y Tolstorukov; Peter J Park
Journal:  Nat Biotechnol       Date:  2008-11-16       Impact factor: 54.908

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  12 in total

Review 1.  Epigenetic control of gene regulation during development and disease: A view from the retina.

Authors:  Ximena Corso-Díaz; Catherine Jaeger; Vijender Chaitankar; Anand Swaroop
Journal:  Prog Retin Eye Res       Date:  2018-03-12       Impact factor: 21.198

2.  Loss of the Hematopoietic Stem Cell Factor GATA2 in the Osteogenic Lineage Impairs Trabecularization and Mechanical Strength of Bone.

Authors:  Alexander Tolkachov; Cornelius Fischer; Thomas H Ambrosi; Melissa Bothe; Chung-Ting Han; Matthias Muenzner; Susanne Mathia; Marjo Salminen; Georg Seifert; Mario Thiele; Georg N Duda; Sebastiaan H Meijsing; Sascha Sauer; Tim J Schulz; Michael Schupp
Journal:  Mol Cell Biol       Date:  2018-05-29       Impact factor: 4.272

3.  HMMRATAC: a Hidden Markov ModeleR for ATAC-seq.

Authors:  Evan D Tarbell; Tao Liu
Journal:  Nucleic Acids Res       Date:  2019-09-19       Impact factor: 16.971

4.  Facilitating Analysis of Publicly Available ChIP-Seq Data for Integrative Studies.

Authors:  Avantika R Diwadkar; Mengyuan Kan; Blanca E Himes
Journal:  AMIA Annu Symp Proc       Date:  2020-03-04

Review 5.  Single molecule and single cell epigenomics.

Authors:  Byung-Ryool Hyun; John L McElwee; Paul D Soloway
Journal:  Methods       Date:  2014-09-07       Impact factor: 3.608

6.  Chromatin immunoprecipitation from fixed clinical tissues reveals tumor-specific enhancer profiles.

Authors:  Paloma Cejas; Lewyn Li; Nicholas K O'Neill; Melissa Duarte; Prakash Rao; Michaela Bowden; Chensheng W Zhou; Marta Mendiola; Emilio Burgos; Jaime Feliu; Juan Moreno-Rubio; Héctor Guadalajara; Víctor Moreno; Damián García-Olmo; Joaquim Bellmunt; Stephanie Mullane; Michelle Hirsch; Christopher J Sweeney; Andrea Richardson; X Shirley Liu; Myles Brown; Ramesh A Shivdasani; Henry W Long
Journal:  Nat Med       Date:  2016-04-25       Impact factor: 53.440

7.  RECOGNICER: A coarse-graining approach for identifying broad domains from ChIP-seq data.

Authors:  Chongzhi Zang; Yiren Wang; Weiqun Peng
Journal:  Quant Biol       Date:  2020-11-19

Review 8.  Role of ChIP-seq in the discovery of transcription factor binding sites, differential gene regulation mechanism, epigenetic marks and beyond.

Authors:  Rasika Mundade; Hatice Gulcin Ozer; Han Wei; Lakshmi Prabhu; Tao Lu
Journal:  Cell Cycle       Date:  2014       Impact factor: 4.534

9.  Genome-wide analysis of HIF-2α chromatin binding sites under normoxia in human bronchial epithelial cells (BEAS-2B) suggests its diverse functions.

Authors:  Meng-Chang Lee; Hsin-Ju Huang; Tzu-Hao Chang; Hsieh-Chou Huang; Shen-Yuan Hsieh; Yi-Siou Chen; Wei-Yuan Chou; Chiao-Hsi Chiang; Ching-Huang Lai; Chia-Yang Shiau
Journal:  Sci Rep       Date:  2016-07-04       Impact factor: 4.379

10.  MicroScope: ChIP-seq and RNA-seq software analysis suite for gene expression heatmaps.

Authors:  Bohdan B Khomtchouk; James R Hennessy; Claes Wahlestedt
Journal:  BMC Bioinformatics       Date:  2016-09-22       Impact factor: 3.169

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