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Abimael A. Machado

dblp:64/2467 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis
BLAST output parsing		 0.012003
Zerg: A Very Fast BLAST Parser Library · Bioinform. 2003
Bioinformatics and computational biology
sequence analysis		 0.012003
Zerg: A Very Fast BLAST Parser Library · Bioinform. 2003
YearPublicationVenuePosition
2003 Zerg: A Very Fast BLAST Parser Library
abstract
SUMMARY: Zerg is a library of sub-routines that parses the output from all NCBI BLAST programs (Blastn, Blastp, Blastx, Tblastn and Tblastx) and returns the attributes of a BLAST report to the user. It is optimized for speed, being especially useful for large-scale genomic analysis. Benchmark tests show that Zerg is over two orders of magnitude faster than some widely used BLAST parsers. AVAILABILITY: http://bioinfo.iq.usp.br/zerg
Apuã C. M. Paquola, Abimael A. Machado, Eduardo M. Reis, Aline Maria da Silva, Sergio Verjovski-Almeida
 Bioinform.2