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Xavier Serra-Hartmann

dblp:93/2183 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2000
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 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
1 paper
Bioinformatics and computational biology · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
protein analysis
0.012000
ASAP: analysis of peptide composition · Bioinform. 2000

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

peptide probability tables · 0.0
YearPublicationVenuePosition
2000 ASAP: analysis of peptide composition
abstract
Abstract Summary: ASAP is a web tool designed to search for specific dipeptides, tripeptides and tetrapeptides in a protein sequence database. The server allows for: (a) identification of frequent and infrequent peptides and the creation of peptide probability tables for a given database of sequences (GenerNet program), (b) determination of the compatibility of an amino-acid sequence to the given peptide probability tables (ClonErrNet program); and (c) comparison of different protein databases based on peptide composition (CompNet program). ASAP server can be useful in protein engineering and/or protein classification studies. Availability: http://guitar.rockefeller.edu/~marcius/ASAP.html Contact: [email protected] * To whom correspondence should be addressed.
Xavier Serra-Hartmann, Xavier Rebordosa, Jaume Piñol, Enrique Querol, Marc A. Martí-Renom
Bioinform.1