000205258 001__ 205258
000205258 005__ 20190410171608.0
000205258 020__ $$a978-84-15814-84-9
000205258 02470 $$2ISI$$a000346381500076
000205258 037__ $$aCONF
000205258 245__ $$aPrinciples of ChIP-seq Data Analysis Illustrated with Examples
000205258 260__ $$aGranada$$bCopicentro Granada S L$$c2014
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$$aAmbrosini, Giovanna$$g176602
000205258 700__ $$aDreos, Rene
000205258 700__ $$0244404$$aBucher, Philipp$$g113607
000205258 7112_ $$a2nd International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO)$$cGranada, SPAIN$$dAPR 07-09, 2014
000205258 720_1 $$aOrtuno, F$$eed.
000205258 720_1 $$aRojas, I$$eed.
000205258 773__ $$q682-694$$tProceedings Iwbbio 2014: International Work-Conference On Bioinformatics And Biomedical Engineering, Vols 1 And 2
000205258 909C0 $$0252244$$pGR-BUCHER$$xU11780
000205258 909CO $$ooai:infoscience.tind.io:205258$$pSV$$pconf$$qconf
000205258 937__ $$aEPFL-ARTICLE-205258
000205258 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000205258 980__ $$aCONF