Please use this identifier to cite or link to this item:
Bongardt, Friedhelm
Vetter, Ingrid
Urfer, Wolfgang
Year of Publication: 
Series/Report no.: 
Technical Report, SFB 475: Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 2002,23
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-ofthe- 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.
Hidden Markov models
short protein repeats
Document Type: 
Working Paper

Files in This Item:
393.19 kB
156.18 kB

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