Application of Hidden Markov Models for Identification of Short Protein Repeats

dc.contributor.author	Bongardt, Friedhelm	de
dc.contributor.author	Urfer, Wolfgang	de
dc.contributor.author	Vetter, Ingrid	de
dc.date.accessioned	2004-12-06T18:50:26Z
dc.date.available	2004-12-06T18:50:26Z
dc.date.issued	2002	de
dc.description.abstract	In this paper, hidden Markov models (HMMs) are discussed in the context of molecular biological sequence analysis. The statistics relevant in the HMM approach are described in detail. An HMM based method is used to analyze two proteins that contain short protein repeats (SPRs). As a benchmark, a state-of-the-art program for the detection of SPRs is also used for both proteins. Finally, an outlook for combination possibilities of HMMs with phylogenetic approaches is given.	en
dc.format.extent	158957 bytes
dc.format.extent	402624 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	application/postscript
dc.identifier.uri	http://hdl.handle.net/2003/5246
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-15135
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject	hidden Markov models	en
dc.subject	short protein repeats	en
dc.subject.ddc	310	de
dc.title	Application of Hidden Markov Models for Identification of Short Protein Repeats	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access

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