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Infernal 1.1: 100-fold faster RNA homology searches

Open access
Nawrocki, Eric P., Eddy, Sean R.·2013·Bioinformatics

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 are downloadable from http://infernal.janelia.org. Infernal is freely licensed under the GNU GPLv3 and should be portable to any POSIX-compliant operating system, including Linux and Mac OS/X. Documentation includes a user’s guide with a tutorial, a discussion of file formats and user options and additional details on methods implemented in the software. Contact: nawrockie@janelia.hhmi.org

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Metadata

Authors
Nawrocki, E. P., & Eddy, S. R.
Venue
Bioinformatics
Published
2013-09-04
Volume
29
Issue
22
Pages
2933-2935
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2141152740
Cited by
3,591
References
2
FWCI
30.93
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Infernal 1.1: 100-fold faster RNA homology searches. https://app.cochat.ai/papers/10.1093/bioinformatics/btt509
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Nawrocki, E. P., & Eddy, S. R. (2013). Infernal 1.1: 100-fold faster RNA homology searches. Bioinformatics. https://doi.org/10.1093/bioinformatics/btt509

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