Please use this identifier to cite or link to this item: https://doi.org/10.1093/bioinformatics/btl125
DC FieldValue
dc.titleDragon Promoter Mapper (DPM): A Bayesian framework for modelling promoter structures
dc.contributor.authorChowdhary, R.
dc.contributor.authorTan, S.L.
dc.contributor.authorAli, R.A.
dc.contributor.authorBoerlage, B.
dc.contributor.authorWong, L.
dc.contributor.authorBajic, V.B.
dc.date.accessioned2013-07-04T07:46:06Z
dc.date.available2013-07-04T07:46:06Z
dc.date.issued2006
dc.identifier.citationChowdhary, R., Tan, S.L., Ali, R.A., Boerlage, B., Wong, L., Bajic, V.B. (2006). Dragon Promoter Mapper (DPM): A Bayesian framework for modelling promoter structures. Bioinformatics 22 (18) : 2310-2312. ScholarBank@NUS Repository. https://doi.org/10.1093/bioinformatics/btl125
dc.identifier.issn13674803
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39636
dc.description.abstractSummary: Dragon Promoter Mapper (DPM) is a tool to model promoter structure of co-regulated genes using methodology of Bayesian networks. DPM exploits an exhaustive set of motif features (such as motif, its strand, the order of motif occurrence and mutual distance between the adjacent motifs) and generates models from the target promoter sequences, which may be used to (1) detect regions in a genomic sequence which are similar to the target promoters or (2) to classify other promoters as similar or not to the target promoter group. DPM can also be used for modelling of enhancers and silencers. © 2006 Oxford University Press.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1093/bioinformatics/btl125
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1093/bioinformatics/btl125
dc.description.sourcetitleBioinformatics
dc.description.volume22
dc.description.issue18
dc.description.page2310-2312
dc.description.codenBOINF
dc.identifier.isiut000240588800022
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.