Authors: Bongardt, Friedhelm
Urfer, Wolfgang
Vetter, Ingrid
Title: Application of Hidden Markov Models for Identification of Short Protein Repeats
Language (ISO): en
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.
Subject Headings: hidden Markov models
short protein repeats
URI: http://hdl.handle.net/2003/5246
http://dx.doi.org/10.17877/DE290R-15135
Issue Date: 2002
Publisher: Universitätsbibliothek Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 475

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