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PMID: 15994196 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S.

SynBrowse: a synteny browser for comparative sequence analysis.

Bioinformatics (Oxford, England) ·Vol. 21 ·No. 17 ·2005-09-01 ·Pages 3461-8

Pan X, Stein L, Brendel V

Abstract

The recent efforts of various sequence projects to sequence deeply into various phylogenies provide great resources for comparative sequence analysis. A generic and portable tool is essential for scientists to visualize and analyze sequence comparisons. We have developed SynBrowse, a synteny browser for visualizing and analyzing genome alignments both within and between species. It is intended to help scientists study macrosynteny, microsynteny and homologous genes between sequences. It can also aid with the identification of uncharacterized genes, putative regulatory elements and novel structural features of a species. SynBrowse is a GBrowse (the Generic Genome Browser) family software tool that runs on top of the open source BioPerl modules. It consists of two components: a web-based front end and a set of relational database back ends. Each database stores pre-computed alignments from a focus sequence to reference sequences in addition to the genome annotations of the focus sequence. The user interface lets end users select a key comparative alignment type and search for syntenic blocks between two sequences and zoom in to view the relationships among the corresponding genome annotations in detail. SynBrowse is portable with simple installation, flexible configuration, convenient data input and easy integration with other components of a model organism system. The software is available at http://www.gmod.org vbrendel@iastate.edu

MeSH Terms
Algorithms Base Sequence Chromosome Mapping/methods Computer Graphics Molecular Sequence Data Sequence Alignment/methods Sequence Analysis, DNA/methods Software Synteny/genetics User-Computer Interface
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Pan Xiaokang
Department of Genetics, Development and Cell Biology, Iowa State University, 2112 Molecular Biology Building, Ames, IA 50011-3260, USA.
Stein Lincoln
Brendel Volker
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2005-09-01
Epub
2005-00-30
Pages
3461-8
Language
English
Region
England
NLM ID
9808944
Subset
IM
Analysis Services
Analysis Services

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