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RSEARCH: Finding homologs of single structured RNA sequences

BACKGROUND: For many RNA molecules, secondary structure rather than primary sequence is the evolutionarily conserved feature. No programs have yet been published that allow searching a sequence database for homologs of a single RNA molecule on the basis of secondary structure. RESULTS: We have devel...

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Detalles Bibliográficos
Autores principales: Klein, Robert J, Eddy, Sean R
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC239859/
https://www.ncbi.nlm.nih.gov/pubmed/14499004
http://dx.doi.org/10.1186/1471-2105-4-44
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author Klein, Robert J
Eddy, Sean R
author_facet Klein, Robert J
Eddy, Sean R
author_sort Klein, Robert J
collection PubMed
description BACKGROUND: For many RNA molecules, secondary structure rather than primary sequence is the evolutionarily conserved feature. No programs have yet been published that allow searching a sequence database for homologs of a single RNA molecule on the basis of secondary structure. RESULTS: We have developed a program, RSEARCH, that takes a single RNA sequence with its secondary structure and utilizes a local alignment algorithm to search a database for homologous RNAs. For this purpose, we have developed a series of base pair and single nucleotide substitution matrices for RNA sequences called RIBOSUM matrices. RSEARCH reports the statistical confidence for each hit as well as the structural alignment of the hit. We show several examples in which RSEARCH outperforms the primary sequence search programs BLAST and SSEARCH. The primary drawback of the program is that it is slow. The C code for RSEARCH is freely available from our lab's website. CONCLUSION: RSEARCH outperforms primary sequence programs in finding homologs of structured RNA sequences.
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spelling pubmed-2398592003-11-04 RSEARCH: Finding homologs of single structured RNA sequences Klein, Robert J Eddy, Sean R BMC Bioinformatics Methodology Article BACKGROUND: For many RNA molecules, secondary structure rather than primary sequence is the evolutionarily conserved feature. No programs have yet been published that allow searching a sequence database for homologs of a single RNA molecule on the basis of secondary structure. RESULTS: We have developed a program, RSEARCH, that takes a single RNA sequence with its secondary structure and utilizes a local alignment algorithm to search a database for homologous RNAs. For this purpose, we have developed a series of base pair and single nucleotide substitution matrices for RNA sequences called RIBOSUM matrices. RSEARCH reports the statistical confidence for each hit as well as the structural alignment of the hit. We show several examples in which RSEARCH outperforms the primary sequence search programs BLAST and SSEARCH. The primary drawback of the program is that it is slow. The C code for RSEARCH is freely available from our lab's website. CONCLUSION: RSEARCH outperforms primary sequence programs in finding homologs of structured RNA sequences. BioMed Central 2003-09-22 /pmc/articles/PMC239859/ /pubmed/14499004 http://dx.doi.org/10.1186/1471-2105-4-44 Text en Copyright © 2003 Klein and Eddy; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Methodology Article
Klein, Robert J
Eddy, Sean R
RSEARCH: Finding homologs of single structured RNA sequences
title RSEARCH: Finding homologs of single structured RNA sequences
title_full RSEARCH: Finding homologs of single structured RNA sequences
title_fullStr RSEARCH: Finding homologs of single structured RNA sequences
title_full_unstemmed RSEARCH: Finding homologs of single structured RNA sequences
title_short RSEARCH: Finding homologs of single structured RNA sequences
title_sort rsearch: finding homologs of single structured rna sequences
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC239859/
https://www.ncbi.nlm.nih.gov/pubmed/14499004
http://dx.doi.org/10.1186/1471-2105-4-44
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