HMMER
by Sean R. Eddy, Washington University (Saint Louis, Mo.) School of Medicine Department of Genetics, National Human Genome Research Institute (U.S.)
Published
1992
Publisher
Washington University School of Medicine
Description
Profile hidden Markov models (profile HMMs) can be used to do database searching using statistical descriptions of a sequence family's consensus. HMMER is a freely distributable implementation of profile HMM software for protein sequence analysis. User inputs a multiple sequence alignment; HMMER builds a statistical model called a "hidden Markov model" which the user can then use as a query into a sequence database to find (and/or align) additional homologues of the sequence family.
Analysis of amino acid sequences
Instrumentation in Amino Acid Sequence Analysis
Handbook of protein sequences
Data reference set
Molecular evolution
Variable regions of immunoglobulin chains
Frequently Asked Questions
Who is the author of HMMER?
HMMER was written by Sean R. Eddy, Washington University (Saint Louis, Mo.) School of Medicine Department of Genetics, National Human Genome Research Institute (U.S.).
When was HMMER published?
The publication date for this specific edition is 1992. The original work may have been published on a different date.