EDBT 2026 Demo / reviewers in the wild / expert
Alexandre Dehne-Garcia
dblp:97/3018
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
approximate bayesian computation |
0.2 | 1 | 2014 | DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data · Bioinform. 2014 |
Bioinformatics and computational biology › population genetics › population parameter estimation
demographic inference |
0.2 | 1 | 2014 | DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data · Bioinform. 2014 |
Bioinformatics and computational biology
population genetics |
0.2 | 1 | 2014 | DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data · Bioinform. 2014 |
Methods — techniques the papers use, named apart from their topics
linear discriminant analysis · 0.2bayesian model choice · 0.2approximate bayesian computation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite dataabstractMOTIVATION: DIYABC is a software package for a comprehensive analysis of population history using approximate Bayesian computation on DNA polymorphism data. Version 2.0 implements a number of new features and analytical methods. It allows (i) the analysis of single nucleotide polymorphism data at large number of loci, apart from microsatellite and DNA sequence data, (ii) efficient Bayesian model choice using linear discriminant analysis on summary statistics and (iii) the serial launching of multiple post-processing analyses. DIYABC v2.0 also includes a user-friendly graphical interface with various new options. It can be run on three operating systems: GNU/Linux, Microsoft Windows and Apple Os X. AVAILABILITY: Freely available with a detailed notice document and example projects to academic users at http://www1.montpellier.inra.fr/CBGP/diyabc CONTACT: [email protected] Supplementary information: Supplementary data are available at Bioinformatics online. Jean-Marie Cornuet, Pierre Pudlo, Julien Veyssier, Alexandre Dehne-Garcia, Mathieu Gautier, Raphaël Leblois, Jean-Michel Marin, Arnaud Estoup |
Bioinform. | 4 |