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Hélène Morlon

dblp:06/8091 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · unresolved

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 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
comparative genomics		 0.112010
Picante: R tools for integrating phylogenies and ecology · Bioinform. 2010
Bioinformatics and computational biology
phylogenetics		 0.112010
Picante: R tools for integrating phylogenies and ecology · Bioinform. 2010
Bioinformatics and computational biology › phylogenetics
phylogenetic comparative methods		 0.112010
Picante: R tools for integrating phylogenies and ecology · Bioinform. 2010
Bioinformatics and computational biology › phylogenetics
phylogenetic diversity analysis		 0.112010
Picante: R tools for integrating phylogenies and ecology · Bioinform. 2010

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

phylogenetic signal testing · 0.1phylogenetic diversity metrics · 0.1
YearPublicationVenuePosition
2010 Picante: R tools for integrating phylogenies and ecology
abstract
SUMMARY: Picante is a software package that provides a comprehensive set of tools for analyzing the phylogenetic and trait diversity of ecological communities. The package calculates phylogenetic diversity metrics, performs trait comparative analyses, manipulates phenotypic and phylogenetic data, and performs tests for phylogenetic signal in trait distributions, community structure and species interactions. AVAILABILITY: Picante is a package for the R statistical language and environment written in R and C, released under a GPL v2 open-source license, and freely available on the web (http://picante.r-forge.r-project.org) and from CRAN (http://cran.r-project.org).
Steven W. Kembel, Peter D. Cowan, Matthew R. Helmus, William K. Cornwell, Hélène Morlon, David D. Ackerly, Simon P. Blomberg, Campbell O. Webb
 Bioinform.5