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dc.contributor.authorOhler, Uwe
dc.contributor.authorLiao, Guo-chun
dc.contributor.authorNiemann, Heinrich
dc.contributor.authorRubin, Gerald M
dc.date.accessioned2010-09-23T13:50:31Z
dc.date.available2010-09-23T13:50:31Z
dc.date.issued2002-12
dc.date.submitted2002-11
dc.identifier.issn1465-6906
dc.identifier.urihttp://hdl.handle.net/1721.1/58678
dc.description.abstractBackground: The core promoter, a region of about 100 base-pairs flanking the transcription start site (TSS), serves as the recognition site for the basal transcription apparatus. Drosophila TSSs have generally been mapped by individual experiments; the low number of accurately mapped TSSs has limited analysis of promoter sequence motifs and the training of computational prediction tools. Results: We identified TSS candidates for about 2,000 Drosophila genes by aligning 5' expressed sequence tags (ESTs) from cap-trapped cDNA libraries to the genome, while applying stringent criteria concerning coverage and 5'-end distribution. Examination of the sequences flanking these TSSs revealed the presence of well-known core promoter motifs such as the TATA box, the initiator and the downstream promoter element (DPE). We also define, and assess the distribution of, several new motifs prevalent in core promoters, including what appears to be a variant DPE motif. Among the prevalent motifs is the DNA-replication-related element DRE, recently shown to be part of the recognition site for the TBP-related factor TRF2. Our TSS set was then used to retrain the computational promoter predictor McPromoter, allowing us to improve the recognition performance to over 50% sensitivity and 40% specificity. We compare these computational results to promoter prediction in vertebrates. Conclusions: There are relatively few recognizable binding sites for previously known general transcription factors in Drosophila core promoters. However, we identified several new motifs enriched in promoter regions. We were also able to significantly improve the performance of computational TSS prediction in Drosophila.en_US
dc.description.sponsorshipNational Institutes of Health (U.S) (grant HG00750)en_US
dc.description.sponsorshipHoward Hughes Medical Instituteen_US
dc.publisherBioMed Central Ltden_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/gb-2002-3-12-research0087en_US
dc.rightsCreative Commons Attributionen_US
dc.sourceBioMed Central Ltden_US
dc.titleComputational analysis of core promoters in the Drosophilagenomeen_US
dc.typeArticleen_US
dc.identifier.citationGenome Biology. 2002 Dec 20;3(12):research0087-0087.12en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.mitauthorOhler, Uwe
dc.relation.journalGenome Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.identifier.pmid12537576
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2010-09-03T16:00:58Z
dc.language.rfc3066en
dc.rights.holderOhler et al.; licensee BioMed Central Ltd.
dspace.orderedauthorsOhler, Uwe; Liao, Guo-chun; Niemann, Heinrich; Rubin, Gerald Men
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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