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GARSA: genomic analysis resources for sequence annotation.
- Source :
-
Bioinformatics (Oxford, England) [Bioinformatics] 2005 Dec 01; Vol. 21 (23), pp. 4302-3. Date of Electronic Publication: 2005 Oct 06. - Publication Year :
- 2005
-
Abstract
- Summary: Growth of genome data and analysis possibilities have brought new levels of difficulty for scientists to understand, integrate and deal with all this ever-increasing information. In this scenario, GARSA has been conceived aiming to facilitate the tasks of integrating, analyzing and presenting genomic information from several bioinformatics tools and genomic databases, in a flexible way. GARSA is a user-friendly web-based system designed to analyze genomic data in the context of a pipeline. EST and GGS data can be analyzed using the system since it accepts (1) chromatograms, (2) download of sequences from GenBank, (3) Fasta files stored locally or (4) a combination of all three. Quality evaluation of chromatograms, vector removing and clusterization are easily performed as part of the pipeline. A number of local and customizable Blast and CDD analyses can be performed as well as Interpro, complemented with phylogeny analyses. GARSA is being used for the analyses of Trypanosoma vivax (GSS and EST), Trypanosoma rangeli (GSS, EST and ORESTES), Bothrops jararaca (EST), Piaractus mesopotamicus (EST) and Lutzomyia longipalpis (EST).<br />Availability: The GARSA system is freely available under GPL license (http://www.biowebdb.org/garsa/). For download requests visit http://www.biowebdb.org/garsa/ or contact Dr Alberto Dávila.
- Subjects :
- Animals
Bothrops metabolism
Chromatography
Database Management Systems
Databases, Genetic
Databases, Nucleic Acid
Databases, Protein
Expressed Sequence Tags
Genome
Genomics
Information Storage and Retrieval
Internet
Phylogeny
Sequence Alignment
Sequence Analysis, DNA
Software
Trypanosoma metabolism
Trypanosoma vivax genetics
User-Computer Interface
Computational Biology methods
Subjects
Details
- Language :
- English
- ISSN :
- 1367-4803
- Volume :
- 21
- Issue :
- 23
- Database :
- MEDLINE
- Journal :
- Bioinformatics (Oxford, England)
- Publication Type :
- Academic Journal
- Accession number :
- 16210424
- Full Text :
- https://doi.org/10.1093/bioinformatics/bti705