Demo Data from EDBT 2026 / reviewers in the wild / expert
Eduardo M. Reis
dblp:28/7003
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2003
0000-0002-9556-3070ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2
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
2 papers |
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
sequence analysis |
0.1 | 2 | 2003 | ESTWeb: bioinformatics services for EST sequencing projects · Bioinform. 2003 Zerg: A Very Fast BLAST Parser Library · Bioinform. 2003 |
Bioinformatics and computational biology › sequence analysis
BLAST output parsing |
0.0 | 1 | 2003 | Zerg: A Very Fast BLAST Parser Library · Bioinform. 2003 |
Bioinformatics and computational biology › transcriptomics
expressed sequence tag analysis |
0.0 | 1 | 2003 | ESTWeb: bioinformatics services for EST sequencing projects · Bioinform. 2003 |
Methods — techniques the papers use, named apart from their topics
vector screening · 0.0basecalling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Zerg: A Very Fast BLAST Parser LibraryabstractSUMMARY: 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. | 3 |
| 2003 | ESTWeb: bioinformatics services for EST sequencing projectsabstractAbstract Summary: ESTWeb is an internet based software package designed for uniform data processing and storage for large-scale EST sequencing projects. The package provides for: (a) reception of sequencing chromatograms; (b) sequence processing such as base-calling, vector screening, comparison with public databases; (c) storage of data and analysis in a relational database, (d) generation of a graphical report of individual sequence quality; and (e) issuing of reports with statistics of productivity and redundancy. The software facilitates real-time monitoring and evaluation of EST sequence acquisition progress along an EST sequencing project. Availability: http://bioinfo.iq.usp.br/estweb Contact: [email protected] Supplementary information: http://bioinfo.iq.usp.br/estweb * To whom correspondence should be addressed. Apuã C. M. Paquola, Milton Y. Nishyiama Jr., Eduardo M. Reis, Aline Maria da Silva, Sergio Verjovski-Almeida |
Bioinform. | 3 |