hmmconvert (genouest)

hmmconvert (genouest) converts profile Hidden Markov Model (HMM) file formats to enable compatibility among bioinformatics tools and to support model-based protein family analysis, multiple sequence alignment, and database searches.


Key Features:

  • Profile HMM Conversion: Converts between various profile HMM file formats to ensure compatibility across bioinformatics tools and databases.
  • Application in Protein Analysis: Estimates HMM parameters from unaligned sequences to generate multiple sequence alignments and model protein families such as the globin family, protein kinase catalytic domains, and EF-hand calcium-binding motifs.
  • Database Searching Capability: Uses constructed HMMs to search sequence databases such as SWISS-PROT for family members or domain occurrences.
  • Accuracy in Discrimination Tests: Distinguishes members and non-members of protein families with high accuracy in discrimination tests, outperforming PROSITE in classification tasks.
  • Advantage Over PROFILESEARCH: Trains HMMs from unaligned sequences to reduce false negatives and false positives compared with PROFILESEARCH, which requires aligned training data.

Scientific Applications:

  • Multiple Sequence Alignment: Generates alignments that closely match those derived from three-dimensional structural information.
  • Protein Family Identification: Identifies and annotates protein family members to support classification and evolutionary analysis.
  • Functional Domain Discovery: Detects functional domains such as EF-hand calcium-binding motifs, exemplified by identification within L-type calcium channels.

Methodology:

Estimates HMM parameters from sets of unaligned sequences and uses the resulting HMMs for multiple sequence alignment and database searches.

Topics

Collections

Details

Tool Type:
api
Added:
8/3/2015
Last Updated:
11/25/2024

Operations

Publications

Krogh A, Brown M, Mian I, Sjölander K, Haussler D. Hidden Markov Models in Computational Biology. Journal of Molecular Biology. 1994;235(5):1501-1531. doi:10.1006/jmbi.1994.1104. PMID:8107089.

Documentation

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