Infernal 1.1: 100-fold faster RNA homology searches
Indexed incrossrefdoajpubmed
Abstract
SUMMARY: Infernal builds probabilistic profiles of the sequence and secondary structure of an RNA family called covariance models (CMs) from structurally annotated multiple sequence alignments given as input. Infernal uses CMs to search for new family members in sequence databases and to create potentially large multiple sequence alignments. Version 1.1 of Infernal introduces a new filter pipeline for RNA homology search based on accelerated profile hidden Markov model (HMM) methods and HMM-banded CM alignment methods. This enables ∼100-fold acceleration over the previous version and ∼10 000-fold acceleration over exhaustive non-filtered CM searches. AVAILABILITY: Source code, documentation and the benchmark…
Citation impact
3,888
total citations
- FWCI
- 36.04
- Percentile
- 100%
- References
- 17
Citations per year
Authors
2Topics & keywords
Topics
Keywords
- Computer science
- Documentation
- Programming language
- Software
- Sequence (biology)
- Sequence alignment
- Hidden Markov model
- Computational biology
No related works found for this paper.