title: GARSA: genomic analysis resources for sequence annotation.
abstract: CONCLUSIONS
  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).
  
  
  BACKGROUND
  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.
authors.affiliation: DBBM, Instituto Oswaldo Cruz Fiocruz, Brazil. davila@fiocruz.br
authors.forename: Alberto M R
authors.initials: AM
authors.lastname: Dávila
authors.forename: Daniel M
authors.initials: DM
authors.lastname: Lorenzini
authors.forename: Pablo N
authors.initials: PN
authors.lastname: Mendes
authors.forename: Thiago S
authors.initials: TS
authors.lastname: Satake
authors.forename: Gabriel R
authors.initials: GR
authors.lastname: Sousa
authors.forename: Linair M
authors.initials: LM
authors.lastname: Campos
authors.forename: Camila J
authors.initials: CJ
authors.lastname: Mazzoni
authors.forename: Glauber
authors.initials: G
authors.lastname: Wagner
authors.forename: Paulo F
authors.initials: PF
authors.lastname: Pires
authors.forename: Edmundo C
authors.initials: EC
authors.lastname: Grisard
authors.forename: Maria C R
authors.initials: MC
authors.lastname: Cavalcanti
authors.forename: Maria Luiza M
authors.initials: ML
authors.lastname: Campos
mesh_terms: D000818:Animals; D017837:Bothrops / Q000378:metabolism; D002845:Chromatography; D019295:Computational Biology / Q000379:methods*; D003628:Database Management Systems; D030541:Databases, Genetic; D030561:Databases, Nucleic Acid; D030562:Databases, Protein; D020224:Expressed Sequence Tags; D016678:Genome; D023281:Genomics; D016247:Information Storage and Retrieval; D020407:Internet; D010802:Phylogeny; D016415:Sequence Alignment; D017422:Sequence Analysis, DNA; D012984:Software; D014345:Trypanosoma / Q000378:metabolism; D016689:Trypanosoma vivax / Q000235:genetics; D014584:User-Computer Interface