Demo Data from EDBT 2026 / reviewers in the wild / expert
Thiago S. Satake
dblp:14/3429
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics › genome analysis
genome analysis pipeline |
0.1 | 1 | 2005 | GARSA: genomic analysis resources for sequence annotation · Bioinform. 2005 |
Bioinformatics and computational biology › sequence analysis
sequence annotation |
0.1 | 1 | 2005 | GARSA: genomic analysis resources for sequence annotation · Bioinform. 2005 |
Bioinformatics and computational biology › transcriptomics
expressed sequence tag analysis |
0.0 | 1 | 2005 | GARSA: genomic analysis resources for sequence annotation · Bioinform. 2005 |
Methods — techniques the papers use, named apart from their topics
phylogenetics · 0.1interpro · 0.1BLAST · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | GARSA: genomic analysis resources for sequence annotationabstractSUMMARY: 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). 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. Alberto M. R. Dávila, Daniel M. Lorenzini, Pablo N. Mendes, Thiago S. Satake, Gabriel R. Sousa, Linair Maria Campos, Camila J. Mazzoni, Glauber Wagner, Paulo F. Pires, Edmundo C. Grisard, Maria Cláudia Cavalcanti, Maria Luiza M. Campos |
Bioinform. | 4 |