| Literature DB >> 9918945 |
S R Eddy1.
Abstract
The recent literature on profile hidden Markov model (profile HMM) methods and software is reviewed. Profile HMMs turn a multiple sequence alignment into a position-specific scoring system suitable for searching databases for remotely homologous sequences. Profile HMM analyses complement standard pairwise comparison methods for large-scale sequence analysis. Several software implementations and two large libraries of profile HMMs of common protein domains are available. HMM methods performed comparably to threading methods in the CASP2 structure prediction exercise.Entities:
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Year: 1998 PMID: 9918945 DOI: 10.1093/bioinformatics/14.9.755
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937