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Christian Biémont

dblp:37/925 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none

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 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
population genetics
0.112006
TESD: a transposable element dynamics simulation environment · Bioinform. 2006
Bioinformatics and computational biology › population genetics
population genomics
0.112006
TESD: a transposable element dynamics simulation environment · Bioinform. 2006
Bioinformatics and computational biology
genomics
0.012006
TESD: a transposable element dynamics simulation environment · Bioinform. 2006
Bioinformatics and computational biology › genomics › transposable elements
transposable element analysis
0.012006
TESD: a transposable element dynamics simulation environment · Bioinform. 2006

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

simulation · 0.1mathematical modeling · 0.1
YearPublicationVenuePosition
2006 TESD: a transposable element dynamics simulation environment
abstract
UNLABELLED: Various mathematical models have been used to explore the dynamics of transposable elements (TEs) within their host genomes. However, numerous factors can influence their dynamics, and we know only little about the dynamics of TEs when they first began to invade populations. In addition, the influence of population structuring has only recently been investigated. Transposable Element Simulator Dynamics, a population genomics simulation environment, has therefore been developed to provide a simple tool for analyzing the dynamics of TEs in a community based on (i) various TE parameters, such as the transposition and excision rates, the recombination rate and the coefficient of selection against TE insertions; and (ii) population parameters, such as population size and migration rates. The simulations can be used to illustrate the dynamic fate of TEs in structured populations, can be extended by using more specific molecular or demographic models, and can be useful for teaching population genetics and genomics. AVAILABILITY: TESD is distributed under GPL from the Pôle Bioinformatique Lyonnais (PBIL) web server at http://pbil.univ-lyon1.fr/software/TESD
Grégory Deceliere, Yann Letrillard, Sandrine Charles, Christian Biémont
Bioinform.4