hmmalign (genouest)

hmmalign (genouest) aligns protein sequences to profile hidden Markov models (profile HMMs) to generate multiple-sequence alignments that support protein similarity detection and functional annotation.


Key Features:

  • Profile HMM alignment: Aligns query sequences to profile hidden Markov models for sensitive multiple-sequence alignment.
  • HMMER integration: Implements algorithms from the HMMER suite, including HMMER3 performance optimizations.
  • Probabilistic sequence similarity: Uses probabilistic methods to assess protein sequence similarity against profile HMMs.
  • Versatile search modes: Supports aligning single or multiple protein sequence alignments, searching profile HMMs against target sequence databases, and querying individual protein sequences against the Pfam database.
  • Batch processing: Accepts and processes multiple queries in a single operation for large-scale analyses.
  • Programmatic access: Exposes functionality via RESTful web services for integration into scripted workflows.

Scientific Applications:

  • Homology detection: Identifies homologous proteins through profile HMM-based alignment and similarity scoring.
  • Evolutionary analysis: Supports inference of evolutionary relationships via multiple-sequence alignments derived from profile HMMs.
  • Functional annotation: Aids annotation of protein function by mapping sequences to Pfam families and profile HMM models.
  • Protein database searches: Enables systematic similarity searches across protein sequence databases using profile HMMs.

Methodology:

Performs sequence-to-profile alignments using profile hidden Markov models and probabilistic scoring implemented in the HMMER suite (HMMER3 optimizations noted).

Topics

Collections

Details

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

Operations

Publications

Finn RD, Clements J, Eddy SR. HMMER web server: interactive sequence similarity searching. Nucleic Acids Research. 2011;39(suppl):W29-W37. doi:10.1093/nar/gkr367. PMID:21593126. PMCID:PMC3125773.

Documentation

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