HH-suite3 for fast remote homology detection and deep protein annotation
Johns Hopkins University · Johns Hopkins Medicine · +4 more institutions
Abstract
HH-suite is a widely used open source software suite for sensitive sequence similarity searches and protein fold recognition. It is based on pairwise alignment of profile Hidden Markov models (HMMs), which represent multiple sequence alignments of homologous proteins.
We developed a single-instruction multiple-data (SIMD) vectorized implementation of the Viterbi algorithm for profile HMM alignment and introduced various other speed-ups. These accelerated the search methods HHsearch by a factor 4 and HHblits by a factor 2 over the previous version 2.0.16. HHblits3 is ∼10× faster than PSI-BLAST and ∼20× faster than HMMER3. Jobs to perform HHsearch and HHblits searches with many query profile HMMs can be parallelized over cores and over cluster servers using OpenMP and message passing interface (MPI). The free, open-source, GPLv3-licensed software is available at https://github.com/soedinglab/hh-suite .
Citation impact
- FWCI
- 43.58
- Percentile
- 100%
- References
- 37
Authors
6- MSMartin SteineggerCorresponding
Johns Hopkins University, Johns Hopkins Medicine, Max Planck Institute for Biophysical Chemistry
- MMMarkus Meier
Max Planck Institute for Biophysical Chemistry
- MMMilot Mirdita
Max Planck Institute for Biophysical Chemistry
- HVHarald Vöhringer
European Bioinformatics Institute, Max Planck Institute for Biophysical Chemistry, Bioinformatics Institute
- SJStephan J. Haunsberger
Royal College of Surgeons in Ireland
Topics & keywords
- Computer science
- Hidden Markov model
- Software suite
- Viterbi algorithm
- Software
- Annotation
- Suite
- Smith–Waterman algorithm
- Industry, innovation and infrastructure