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Borja Esteve-Altava

dblp:370/5191 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
molecular evolution
0.712023
CAAStools: a toolbox to identify and test Convergent Amino Acid Substitutions · Bioinform. 2023
Bioinformatics and computational biology › statistical genetics
genotype-phenotype association
0.212023
CAAStools: a toolbox to identify and test Convergent Amino Acid Substitutions · Bioinform. 2023
Bioinformatics and computational biology
phylogenetics
0.212023
CAAStools: a toolbox to identify and test Convergent Amino Acid Substitutions · Bioinform. 2023

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

orthologous protein alignment · 0.7
YearPublicationVenuePosition
2023 CAAStools: a toolbox to identify and test Convergent Amino Acid Substitutions
abstract
MOTIVATION: Coincidence of Convergent Amino Acid Substitutions (CAAS) with phenotypic convergences allow pinpointing genes and even individual mutations that are likely to be associated with trait variation within their phylogenetic context. Such findings can provide useful insights into the genetic architecture of complex phenotypes. RESULTS: Here we introduce CAAStools, a set of bioinformatics tools to identify and validate CAAS in orthologous protein alignments for predefined groups of species representing the phenotypic values targeted by the user. AVAILABILITY AND IMPLEMENTATION: CAAStools source code is available at http://github.com/linudz/caastools, along with documentation and examples.
Fabio Barteri, Alejandro Valenzuela, Xavier Farré, David de Juan, Gerard Muntané, Borja Esteve-Altava, Arcadi Navarro
Bioinform.6