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Laurent Excoffier

dblp:75/3162 · DBLP profile ↗
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7ranked-venue papers
2as first author
1since 2021 · last 2021
0000-0002-7507-6494ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 7 · 2 first-author · 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
6 papers
Bioinformatics and computational biology · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
population genetics
0.952021
fastsimcoal2: demographic inference under complex evolutionary scenarios · Bioinform. 2021
PGDSpider: an automated data conversion tool for connecting population genetics and genomics programs · Bioinform. 2012
fastsimcoal: a continuous-time coalescent simulator of genomic diversity under arbitrarily complex evolutionary scenarios · Bioinform. 2011
Bioinformatics and computational biology › population genetics › population genetics simulation
coalescent simulation
0.632021
fastsimcoal2: demographic inference under complex evolutionary scenarios · Bioinform. 2021
fastsimcoal: a continuous-time coalescent simulator of genomic diversity under arbitrarily complex evolutionary scenarios · Bioinform. 2011
SIMCOAL 2.0: a program to simulate genomic diversity over large recombining regions in a subdivided population with a complex history · Bioinform. 2004
Bioinformatics and computational biology › population genetics › population parameter estimation
demographic inference
0.622021
fastsimcoal2: demographic inference under complex evolutionary scenarios · Bioinform. 2021
fastsimcoal: a continuous-time coalescent simulator of genomic diversity under arbitrarily complex evolutionary scenarios · Bioinform. 2011
Bioinformatics and computational biology › statistical genetics
genetic data simulation
0.412019
SPLATCHE3: simulation of serial genetic data under spatially explicit evolutionary scenarios including long-distance dispersal · Bioinform. 2019
Bioinformatics and computational biology › population genetics
population genetics simulation
0.412019
SPLATCHE3: simulation of serial genetic data under spatially explicit evolutionary scenarios including long-distance dispersal · Bioinform. 2019

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

site frequency spectrum · 0.5multithreading · 0.5maximum likelihood · 0.5long-distance migration modeling · 0.4hybridization modeling · 0.4coalescent simulation · 0.3file format parsing · 0.1approximate bayesian computation · 0.1ancestral recombination graph · 0.1
YearPublicationVenuePosition
2021 fastsimcoal2: demographic inference under complex evolutionary scenarios
abstract
MOTIVATION: fastsimcoal2 extends fastsimcoal, a continuous time coalescent-based genetic simulation program, by enabling the estimation of demographic parameters under very complex scenarios from the site frequency spectrum under a maximum-likelihood framework. RESULTS: Other improvements include multi-threading, handling of population inbreeding, extended input file syntax facilitating the description of complex demographic scenarios, and more efficient simulations of sparsely structured populations and of large chromosomes. AVAILABILITY AND IMPLEMENTATION: fastsimcoal2 is freely available on http://cmpg.unibe.ch/software/fastsimcoal2/. It includes console versions for Linux, Windows and MacOS, additional scripts for the analysis and visualization of simulated and estimated scenarios, as well as a detailed documentation and ready-to-use examples.
Laurent Excoffier, Nina Marchi, David Alexander Marques, Remi Matthey-Doret, Alexandre Gouy, Vitor C. Sousa
Bioinform.1
2019 SPLATCHE3: simulation of serial genetic data under spatially explicit evolutionary scenarios including long-distance dispersal
abstract
SUMMARY: SPLATCHE3 simulates genetic data under a variety of spatially explicit evolutionary scenarios, extending previous versions of the framework. The new capabilities include long-distance migration, spatially and temporally heterogeneous short-scale migrations, alternative hybridization models, simulation of serial samples of genetic data and a large variety of DNA mutation models. These implementations have been applied independently to various studies, but grouped together in the current version. AVAILABILITY AND IMPLEMENTATION: SPLATCHE3 is written in C++ and is freely available for non-commercial use from the website http://www.splatche.com/splatche3. It includes console versions for Linux, MacOs and Windows and a user-friendly GUI for Windows, as well as detailed documentation and ready-to-use examples.
Mathias Currat, Miguel Arenas, Claudio S. Quilodràn, Laurent Excoffier, Nicolas Ray
Bioinform.4
2012 PGDSpider: an automated data conversion tool for connecting population genetics and genomics programs
abstract
UNLABELLED: The analysis of genetic data often requires a combination of several approaches using different and sometimes incompatible programs. In order to facilitate data exchange and file conversions between population genetics programs, we introduce PGDSpider, a Java program that can read 27 different file formats and export data into 29, partially overlapping, other file formats. The PGDSpider package includes both an intuitive graphical user interface and a command-line version allowing its integration in complex data analysis pipelines. AVAILABILITY: PGDSpider is freely available under the BSD 3-Clause license on http://cmpg.unibe.ch/software/PGDSpider/.
Heidi E. L. Lischer, Laurent Excoffier
Bioinform.2
2011 fastsimcoal: a continuous-time coalescent simulator of genomic diversity under arbitrarily complex evolutionary scenarios
abstract
MOTIVATION: Genetic studies focus on increasingly larger genomic regions of both extant and ancient DNA, and there is a need for simulation software to match these technological advances. We present here a new coalescent-based simulation program fastsimcoal, which is able to quickly simulate a variety of genetic markers scattered over very long genomic regions with arbitrary recombination patterns under complex evolutionary scenarios. AVAILABILITY AND IMPLEMENTATION: fastsimcoal is a C++ program compiled for Windows, MacOsX and Linux platforms. It is freely available at cmpg.unibe.ch/software/fastsimcoal/, together with its detailed user manual and example input files.
Laurent Excoffier, Matthieu Foll
Bioinform.1
2010 SPLATCHE2: a spatially explicit simulation framework for complex demography, genetic admixture and recombination
abstract
SUMMARY: SPLATCHE2 is a program to simulate the demography of populations and the resulting molecular diversity for a wide range of evolutionary scenarios. The spatially explicit simulation framework can account for environmental heterogeneity and fluctuations, and it can manage multiple population sources. A coalescent-based approach is used to generate genetic markers mostly used in population genetics studies (DNA sequences, SNPs, STRs or RFLPs). Various combinations of independent, fully or partially linked genetic markers can be produced under a recombination model based on the ancestral recombination graph. Competition between two populations (or species) can also be simulated with user-defined levels of admixture between the two populations. SPLATCHE2 may be used to generate the expected genetic diversity under complex demographic scenarios and can thus serve to test null hypotheses. For model parameter estimation, SPLATCHE2 can easily be integrated into an Approximate Bayesian Computation (ABC) framework. AVAILABILITY AND IMPLEMENTATION: SPLATCHE2 is a C++ program compiled for Windows and Linux platforms. It is freely available at www.splatche.com, together with its related documentation and example data. CONTACT: [email protected]
Nicolas Ray, Mathias Currat, Matthieu Foll, Laurent Excoffier
Bioinform.4
2010 ABCtoolbox: a versatile toolkit for approximate Bayesian computations
abstract
BACKGROUND: The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractable for many realistic evolutionary models, and the use of Bayesian inference has therefore been limited to very simple models. The situation changed recently with the advent of Approximate Bayesian Computation (ABC) algorithms allowing one to obtain parameter posterior distributions based on simulations not requiring likelihood computations. RESULTS: Here we present ABCtoolbox, a series of open source programs to perform Approximate Bayesian Computations (ABC). It implements various ABC algorithms including rejection sampling, MCMC without likelihood, a Particle-based sampler and ABC-GLM. ABCtoolbox is bundled with, but not limited to, a program that allows parameter inference in a population genetics context and the simultaneous use of different types of markers with different ploidy levels. In addition, ABCtoolbox can also interact with most simulation and summary statistics computation programs. The usability of the ABCtoolbox is demonstrated by inferring the evolutionary history of two evolutionary lineages of Microtus arvalis. Using nuclear microsatellites and mitochondrial sequence data in the same estimation procedure enabled us to infer sex-specific population sizes and migration rates and to find that males show smaller population sizes but much higher levels of migration than females. CONCLUSION: ABCtoolbox allows a user to perform all the necessary steps of a full ABC analysis, from parameter sampling from prior distributions, data simulations, computation of summary statistics, estimation of posterior distributions, model choice, validation of the estimation procedure, and visualization of the results.
Daniel Wegmann, Christoph Leuenberger, Samuel Neuenschwander, Laurent Excoffier
BMC Bioinform.4
2004 SIMCOAL 2.0: a program to simulate genomic diversity over large recombining regions in a subdivided population with a complex history
abstract
UNLABELLED: We present an extension of the program SIMCOAL, which allows for simulation of the genomic diversity of samples drawn from a set of populations with arbitrary patterns of migrations and complex demographic histories, including bottlenecks and various modes of demographic expansion. The main additions to the previous version include the possibility of arbitrary and heterogeneous recombination rates between adjacent loci and multiple coalescent events per generation, allowing for the simulation of very large samples and recombining genomic regions, together with the simulation of single nucleotide polymorphism data with frequency ascertainment bias. AVAILABILITY: http://cmpg.unibe.ch/software/simcoal2/.
Guillaume Laval, Laurent Excoffier
Bioinform.2