000205258 001__ 205258
000205258 005__ 20190410171608.0
000205258 020__ $$a978-84-15814-84-9
000205258 02470 $$2ISI$$a000346381500076
000205258 037__ $$aCONF
000205258 245__ $$aPrinciples of ChIP-seq Data Analysis Illustrated with Examples
000205258 260__ $$bCopicentro Granada S L$$c2014$$aGranada
000205258 269__ $$a2014
000205258 300__ $$a13
000205258 336__ $$aConference Papers
000205258 520__ $$aChromatin immunoprecipitation (ChIP) followed by high-throughput sequencing (ChIP-seq) is a powerful method to determine how transcription factors and other chromatin-associated proteins interact with DNA in order to regulate gene transcription. A single ChIP-seq experiment produces large amounts of highly reproducible data. The challenge is to extract knowledge from the data by thoughtful application of appropriate bioinformatics tools. Here we present a concise introduction into ChIP-seq data analysis in the form of a tutorial based on tools developed by our group. We expose biological questions, explain methods and provide guidelines for the interpretation of the results. While this article focuses on ChIP-seq, most of the algorithms and tools we present are applicable to other chromatin profiling assays based on next generation sequencing (NGS) technology as well.
000205258 6531_ $$aChIP-seq
000205258 6531_ $$aDNase I hypersensitive sites
000205258 6531_ $$atranscription factor binding sites
000205258 6531_ $$ahistone marks
000205258 6531_ $$abioinformatics analysis
000205258 700__ $$0243605$$g176602$$aAmbrosini, Giovanna
000205258 700__ $$aDreos, Rene
000205258 700__ $$0244404$$g113607$$aBucher, Philipp
000205258 7112_ $$dAPR 07-09, 2014$$cGranada, SPAIN$$a2nd International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO)
000205258 720_1 $$aOrtuno, F$$eed.
000205258 720_1 $$aRojas, I$$eed.
000205258 773__ $$tProceedings Iwbbio 2014: International Work-Conference On Bioinformatics And Biomedical Engineering, Vols 1 And 2$$q682-694
000205258 909C0 $$xU11780$$0252244$$pGR-BUCHER
000205258 909CO $$qconf$$pSV$$pconf$$ooai:infoscience.tind.io:205258
000205258 937__ $$aEPFL-ARTICLE-205258
000205258 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000205258 980__ $$aCONF