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Jérôme Goudet

dblp:85/2305 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-5318-7601ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 3

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
3 papers
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
population genetics simulation
0.522019
QuantiNemo 2: a Swiss knife to simulate complex demographic and genetic scenarios, forward and backward in time · Bioinform. 2019
quantiNemo: an individual-based program to simulate quantitative traits with explicit genetic architecture in a dynamic metapopulation · Bioinform. 2008
Bioinformatics and computational biology › statistical genetics › genetic data simulation
quantitative trait simulation
0.522019
QuantiNemo 2: a Swiss knife to simulate complex demographic and genetic scenarios, forward and backward in time · Bioinform. 2019
quantiNemo: an individual-based program to simulate quantitative traits with explicit genetic architecture in a dynamic metapopulation · Bioinform. 2008
Bioinformatics and computational biology
metagenomics
0.212013
Density-based hierarchical clustering of pyro-sequences on a large scale - the case of fungal ITS1 · Bioinform. 2013
Bioinformatics and computational biology › metagenomics
operational taxonomic unit clustering
0.212013
Density-based hierarchical clustering of pyro-sequences on a large scale - the case of fungal ITS1 · Bioinform. 2013

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

stochastic simulation · 0.5individual-based simulation · 0.5hierarchical clustering · 0.2density-based clustering · 0.2
YearPublicationVenuePosition
2019 QuantiNemo 2: a Swiss knife to simulate complex demographic and genetic scenarios, forward and backward in time
abstract
SUMMARY: QuantiNemo 2 is a stochastic simulation program for quantitative population genetics. It was developed to investigate the effects of selection, mutation, recombination and drift on quantitative traits and neutral markers in structured populations connected by migration and located in heterogeneous habitats. A specific feature is that it allows to switch between an individual-based full-featured mode and a population-based faster mode. Several demographic, genetic and selective parameters can be fine-tuned in QuantiNemo 2: population, selection, trait(s) architecture, genetic map for QTL and/or markers, environment, demography and mating system are the main features. AVAILABILITY AND IMPLEMENTATION: QuantiNemo 2 is a C++ program with a source code available under the GNU General Public License version 3. Executables are provided for Windows, MacOS and Linux platforms, together with a comprehensive manual and tutorials illustrating its flexibility. The executable, manual and tutorial can be found on the website www2.unil.ch/popgen/softwares/quantinemo/, while the source code and user support are given through GitHub: github.com/jgx65/quantinemo. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Samuel Neuenschwander, Frédéric Michaud, Jérôme Goudet
Bioinform.3
2013 Density-based hierarchical clustering of pyro-sequences on a large scale - the case of fungal ITS1
abstract
MOTIVATION: Analysis of millions of pyro-sequences is currently playing a crucial role in the advance of environmental microbiology. Taxonomy-independent, i.e. unsupervised, clustering of these sequences is essential for the definition of Operational Taxonomic Units. For this application, reproducibility and robustness should be the most sought after qualities, but have thus far largely been overlooked. RESULTS: More than 1 million hyper-variable internal transcribed spacer 1 (ITS1) sequences of fungal origin have been analyzed. The ITS1 sequences were first properly extracted from 454 reads using generalized profiles. Then, otupipe, cd-hit-454, ESPRIT-Tree and DBC454, a new algorithm presented here, were used to analyze the sequences. A numerical assay was developed to measure the reproducibility and robustness of these algorithms. DBC454 was the most robust, closely followed by ESPRIT-Tree. DBC454 features density-based hierarchical clustering, which complements the other methods by providing insights into the structure of the data. AVAILABILITY: An executable is freely available for non-commercial users at ftp://ftp.vital-it.ch/tools/dbc454. It is designed to run under MPI on a cluster of 64-bit Linux machines running Red Hat 4.x, or on a multi-core OSX system. CONTACT: [email protected] or [email protected].
Marco Pagni, Hélène Niculita-Hirzel, Loïc Pellissier, Anne Dubuis, Ioannis Xenarios, Antoine Guisan, Ian R. Sanders, Jérôme Goudet, Nicolas Guex
Bioinform.8
2008 quantiNemo: an individual-based program to simulate quantitative traits with explicit genetic architecture in a dynamic metapopulation
abstract
UNLABELLED: quantiNemo is an individual-based, genetically explicit stochastic simulation program. It was developed to investigate the effects of selection, mutation, recombination and drift on quantitative traits with varying architectures in structured populations connected by migration and located in a heterogeneous habitat. quantiNemo is highly flexible at various levels: population, selection, trait(s) architecture, genetic map for QTL and/or markers, environment, demography, mating system, etc. quantiNemo is coded in C++ using an object-oriented approach and runs on any computer platform. AVAILABILITY: Executables for several platforms, user's manual, and source code are freely available under the GNU General Public License at http://www2.unil.ch/popgen/softwares/quantinemo.
Samuel Neuenschwander, Frédéric Hospital, Frédéric Guillaume, Jérôme Goudet
Bioinform.4