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Daniel Aguilar

dblp:71/668 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2003
0000-0001-7520-4508ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 2 first-author

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 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
protein function prediction
0.012002
TranScout: prediction of gene expression regulatory proteins from their sequences · Bioinform. 2002
Bioinformatics and computational biology › sequence analysis › motif discovery
conserved motif identification
0.012002
TranScout: prediction of gene expression regulatory proteins from their sequences · Bioinform. 2002
Bioinformatics and computational biology
sequence analysis
0.012002
TranScout: prediction of gene expression regulatory proteins from their sequences · Bioinform. 2002

Methods — techniques the papers use, named apart from their topics

web-based interface · 0.0motif database construction · 0.0benchmark evaluation · 0.0
YearPublicationVenuePosition
2003 SNOW: Standard NOmenclature Wizard to help searching for (bio) chemical standardized names
abstract
UNLABELLED: When developing bioinformatical tools dealing with enzymatic activity, metabolism or enzymatic networks, the problem of the lack of a clear nomenclature for biochemical compounds often arises. This problem leads us to develop a small web-based tool (SNOW, Standard NOmenclature Wizard) which may help to find recommended and trivial names or the correct closest spelling for a query compound name, if it exists. AVAILABILITY: Web-based interface available at http://ibb.uab.es/snow/ SUPPLEMENTARY INFORMATION: http://ibb.uab.es/snow/snow_moreinfo.html
Daniel Aguilar, Baldomero Oliva, Francesc X. Avilés, Enrique Querol
Bioinform.1
2002 TranScout: prediction of gene expression regulatory proteins from their sequences
abstract
Abstract Motivation: The advent of genomics yields thousands of reading frames in search of function. Identification of conserved functional motifs in protein sequences can be helpful for function prediction. Results: A database and a classification of reported DNA-binding protein motifs has been designed. A program (‘TranScout’) has been developed for the detection and evaluation of conserved motifs in prokaryotic and eukaryotic sequences of proteins with a gene regulatory function. The efficiency of the program is shown in a benchmark against a database obtained from SWISS-PROT without the protein sequences used to train the program. All motifs were detected with a mean average sensitivity of 0.98 and a mean average specificity of 0.92. Availability: The program is freely available for use on the internet at http://luz.uab.es/transcout/. The user can find additional information at this site. Contact: [email protected]; [email protected] * To whom correspondence should be addressed. 2 Present address: Laboratorio de Biologı́a Estructural Computacional (GRIB), Universitat Pompeu Fabra, C/Doctor Aiguader, Barcelona 08003, Spain.
Daniel Aguilar, Baldomero Oliva, Francesc X. Avilés, Enrique Querol
Bioinform.1