Sequence analysis of chromatin immunoprecipitation data for factors

Chromatin immunoprecipitation (ChIP) experiments allow the location of transcription factors to be determined across the genome. Subsequent analysis of the sequences of the identified regions allows binding to be localized at a higher resolution than can be achieved by current high-throughput experi...

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Main Authors: MacIsaac, Kenzie Daniel, Fraenkel, Ernest
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Springer Science + Business Media 2012
Online Access:http://hdl.handle.net/1721.1/69229
https://orcid.org/0000-0001-9249-8181
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author MacIsaac, Kenzie Daniel
Fraenkel, Ernest
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
MacIsaac, Kenzie Daniel
Fraenkel, Ernest
author_sort MacIsaac, Kenzie Daniel
collection MIT
description Chromatin immunoprecipitation (ChIP) experiments allow the location of transcription factors to be determined across the genome. Subsequent analysis of the sequences of the identified regions allows binding to be localized at a higher resolution than can be achieved by current high-throughput experiments without sequence analysis and may provide important insight into the regulatory programs enacted by the protein of interest. In this chapter we review the tools, workflow, and common pitfalls of such analyses and recommend strategies for effective motif discovery from these data.
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spelling mit-1721.1/692292022-10-01T17:26:14Z Sequence analysis of chromatin immunoprecipitation data for factors MacIsaac, Kenzie Daniel Fraenkel, Ernest Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Biological Engineering Fraenkel, Ernest Fraenkel, Ernest MacIsaac, Kenzie Daniel Chromatin immunoprecipitation (ChIP) experiments allow the location of transcription factors to be determined across the genome. Subsequent analysis of the sequences of the identified regions allows binding to be localized at a higher resolution than can be achieved by current high-throughput experiments without sequence analysis and may provide important insight into the regulatory programs enacted by the protein of interest. In this chapter we review the tools, workflow, and common pitfalls of such analyses and recommend strategies for effective motif discovery from these data. 2012-02-28T17:24:51Z 2012-02-28T17:24:51Z 2010-01 Article http://purl.org/eprint/type/JournalArticle 9781607618546 1607618540 978-1-60761-853-9 1064-3745 http://hdl.handle.net/1721.1/69229 MacIsaac, Kenzie D., and Ernest Fraenkel. “Sequence Analysis of Chromatin Immunoprecipitation Data for Transcription Factors.” Chapter 11 of Computational Biology of Transcription Factor Binding. Ed. Istvan Ladunga. Totowa, NJ: Humana Press, 2010. 179–193. (Methods in Molecular Biology ; Vol. 674) https://orcid.org/0000-0001-9249-8181 en_US http://dx.doi.org/10.1007/978-1-60761-854-6_11 Computational Biology of Transcription Factor Binding Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Springer Science + Business Media Prof. Fraenkel via Howard Silver
spellingShingle MacIsaac, Kenzie Daniel
Fraenkel, Ernest
Sequence analysis of chromatin immunoprecipitation data for factors
title Sequence analysis of chromatin immunoprecipitation data for factors
title_full Sequence analysis of chromatin immunoprecipitation data for factors
title_fullStr Sequence analysis of chromatin immunoprecipitation data for factors
title_full_unstemmed Sequence analysis of chromatin immunoprecipitation data for factors
title_short Sequence analysis of chromatin immunoprecipitation data for factors
title_sort sequence analysis of chromatin immunoprecipitation data for factors
url http://hdl.handle.net/1721.1/69229
https://orcid.org/0000-0001-9249-8181
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