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dc.contributor.authorMacIsaac, Kenzie Daniel
dc.contributor.authorFraenkel, Ernest
dc.date.accessioned2012-02-28T17:24:51Z
dc.date.available2012-02-28T17:24:51Z
dc.date.issued2010-01
dc.identifier.isbn9781607618546
dc.identifier.isbn1607618540
dc.identifier.isbn978-1-60761-853-9
dc.identifier.issn1064-3745
dc.identifier.urihttp://hdl.handle.net/1721.1/69229
dc.description.abstractChromatin 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.en_US
dc.language.isoen_US
dc.publisherSpringer Science + Business Mediaen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/978-1-60761-854-6_11en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceProf. Fraenkel via Howard Silveren_US
dc.titleSequence analysis of chromatin immunoprecipitation data for factorsen_US
dc.typeArticleen_US
dc.identifier.citationMacIsaac, 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)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.approverFraenkel, Ernest
dc.contributor.mitauthorFraenkel, Ernest
dc.contributor.mitauthorMacIsaac, Kenzie Daniel
dc.relation.journalComputational Biology of Transcription Factor Bindingen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsMacIsaac, Kenzie D.; Fraenkel, Ernesten
dc.identifier.orcidhttps://orcid.org/0000-0001-9249-8181
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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