Cargando…

SynBlast: Assisting the analysis of conserved synteny information

MOTIVATION: In the last years more than 20 vertebrate genomes have been sequenced, and the rate at which genomic DNA information becomes available is rapidly accelerating. Gene duplication and gene loss events inherently limit the accuracy of orthology detection based on sequence similarity alone. F...

Descripción completa

Detalles Bibliográficos
Autores principales: Lehmann, Jörg, Stadler, Peter F, Prohaska, Sonja J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2543028/
https://www.ncbi.nlm.nih.gov/pubmed/18721485
http://dx.doi.org/10.1186/1471-2105-9-351
_version_ 1782159170427944960
author Lehmann, Jörg
Stadler, Peter F
Prohaska, Sonja J
author_facet Lehmann, Jörg
Stadler, Peter F
Prohaska, Sonja J
author_sort Lehmann, Jörg
collection PubMed
description MOTIVATION: In the last years more than 20 vertebrate genomes have been sequenced, and the rate at which genomic DNA information becomes available is rapidly accelerating. Gene duplication and gene loss events inherently limit the accuracy of orthology detection based on sequence similarity alone. Fully automated methods for orthology annotation do exist but often fail to identify individual members in cases of large gene families, or to distinguish missing data from traceable gene losses. This situation can be improved in many cases by including conserved synteny information. RESULTS: Here we present the SynBlast pipeline that is designed to construct and evaluate local synteny information. SynBlast uses the genomic region around a focal reference gene to retrieve candidates for homologous regions from a collection of target genomes and ranks them in accord with the available evidence for homology. The pipeline is intended as a tool to aid high quality manual annotation in particular in those cases where automatic procedures fail. We demonstrate how SynBlast is applied to retrieving orthologous and paralogous clusters using the vertebrate Hox and ParaHox clusters as examples. SOFTWARE: The SynBlast package written in Perl is available under the GNU General Public License at .
format Text
id pubmed-2543028
institution National Center for Biotechnology Information
language English
publishDate 2008
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-25430282008-09-19 SynBlast: Assisting the analysis of conserved synteny information Lehmann, Jörg Stadler, Peter F Prohaska, Sonja J BMC Bioinformatics Methodology Article MOTIVATION: In the last years more than 20 vertebrate genomes have been sequenced, and the rate at which genomic DNA information becomes available is rapidly accelerating. Gene duplication and gene loss events inherently limit the accuracy of orthology detection based on sequence similarity alone. Fully automated methods for orthology annotation do exist but often fail to identify individual members in cases of large gene families, or to distinguish missing data from traceable gene losses. This situation can be improved in many cases by including conserved synteny information. RESULTS: Here we present the SynBlast pipeline that is designed to construct and evaluate local synteny information. SynBlast uses the genomic region around a focal reference gene to retrieve candidates for homologous regions from a collection of target genomes and ranks them in accord with the available evidence for homology. The pipeline is intended as a tool to aid high quality manual annotation in particular in those cases where automatic procedures fail. We demonstrate how SynBlast is applied to retrieving orthologous and paralogous clusters using the vertebrate Hox and ParaHox clusters as examples. SOFTWARE: The SynBlast package written in Perl is available under the GNU General Public License at . BioMed Central 2008-08-24 /pmc/articles/PMC2543028/ /pubmed/18721485 http://dx.doi.org/10.1186/1471-2105-9-351 Text en Copyright © 2008 Lehmann et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology Article
Lehmann, Jörg
Stadler, Peter F
Prohaska, Sonja J
SynBlast: Assisting the analysis of conserved synteny information
title SynBlast: Assisting the analysis of conserved synteny information
title_full SynBlast: Assisting the analysis of conserved synteny information
title_fullStr SynBlast: Assisting the analysis of conserved synteny information
title_full_unstemmed SynBlast: Assisting the analysis of conserved synteny information
title_short SynBlast: Assisting the analysis of conserved synteny information
title_sort synblast: assisting the analysis of conserved synteny information
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2543028/
https://www.ncbi.nlm.nih.gov/pubmed/18721485
http://dx.doi.org/10.1186/1471-2105-9-351
work_keys_str_mv AT lehmannjorg synblastassistingtheanalysisofconservedsyntenyinformation
AT stadlerpeterf synblastassistingtheanalysisofconservedsyntenyinformation
AT prohaskasonjaj synblastassistingtheanalysisofconservedsyntenyinformation