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Renaud Vitalis

dblp:73/11186 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
0000-0001-7096-3089ORCID · reported

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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › population genetics
population genomics
0.112012
rehh: an R package to detect footprints of selection in genome-wide SNP data from haplotype structure · Bioinform. 2012
Bioinformatics and computational biology › population genetics
selection detection
0.112012
rehh: an R package to detect footprints of selection in genome-wide SNP data from haplotype structure · Bioinform. 2012
Bioinformatics and computational biology › statistical genetics
single nucleotide polymorphism analysis
0.012012
rehh: an R package to detect footprints of selection in genome-wide SNP data from haplotype structure · Bioinform. 2012

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

statistical testing · 0.1extended haplotype homozygosity · 0.1
YearPublicationVenuePosition
2012 rehh: an R package to detect footprints of selection in genome-wide SNP data from haplotype structure
abstract
UNLABELLED: With the development of next-generation sequencing and genotyping approaches, large single nucleotide polymorphism haplotype datasets are becoming available in a growing number of both model and non-model species. Identifying genomic regions with unexpectedly high local haplotype homozygosity relatively to neutral expectation represents a powerful strategy to ascertain candidate genes responding to natural or artificial selection. To facilitate genome-wide scans of selection based on the analysis of long-range haplotypes, we developed the R package rehh. It provides a versatile tool to detect the footprints of recent or ongoing selection with several graphical functions that help visual interpretation of the results. AVAILABILITY AND IMPLEMENTATION: Stable version is available from CRAN: http://cran.r-project.org/. Development version is available from the R-forge repository: http://r-forge.r-project.org/projects/rehh. Both versions can be installed directly from R. Function documentation and example data files are provided within the package and a tutorial is available as Supplementary Material. rehh is distributed under the GNU General Public Licence (GPL ≥ 2).
Mathieu Gautier, Renaud Vitalis
Bioinform.2