z-logo
open-access-imgOpen Access
Infernal 1.0: inference of RNA alignments
Author(s) -
Eric P. Nawrocki,
Diana L. Kolbe,
Sean R. Eddy
Publication year - 2009
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btp157
Subject(s) - computer science , sequence (biology) , documentation , programming language , posix , benchmark (surveying) , source code , inference , computational biology , sequence alignment , biology , artificial intelligence , genetics , peptide sequence , geodesy , geography , gene
INFERNAL builds consensus RNA secondary structure profiles called covariance models (CMs), and uses them to search nucleic acid sequence databases for homologous RNAs, or to create new sequence- and structure-based multiple sequence alignments.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom