2014, pages 1–3 BIOINFORMATICS APPLICATIONS NOTE doi:10.1093/bioinformatics/btt763

Inferring past demographic changes from contemporary genetic data: A simulation-based evaluation of the ABC methods implemented in DIYABC

Cabrera, Andrea A
Palsbøll, Per J

November 2017

Inferring the demographic history of species and their populations is crucial to understand their co...

Extending Approximate Bayesian Computation with Supervised Machine Learning to infer demographic history from genetic polymorphisms using DIYABC Random Forest

Collin, François‐david
Durif, Ghislain
Raynal, Louis
Lombaert, Eric
Gautier, Mathieu
Vitalis, Renaud
Marin, Jean-Michel
Estoup, Arnaud

November 2021

International audienceSimulation-based methods such as Approximate Bayesian Computation (ABC) are we...

Inferring Population Size History from Large Samples of Genome-Wide Molecular Data - An Approximate Bayesian Computation Approach.

Boitard, Simon
Rodríguez, Willy
Jay, Flora
Mona, Stefano
Austerlitz, Frédéric

November 2016

Inferring Population Size History from Large Samples of Genome-Wide Molecular Data - An Approximate ...

1

Jean-marie Cornuet
Julien Veyssier
Alexandre Dehne-garcia
Raphaël Leblois
Jean-michel Marin
Arnaud Estoup
Umr Cbgp

September 2016

DIYABC v2.0: a software to make approximate Bayesian computa-tion inferences about population histor...

DIYABC v2.0: a software to make approximate Bayesian computa-

Thieu Gautier
Raphaël Leblois
Jean-michel Marin
Arnaud Estoup
Biologie Computationnelle Lirmm Montpellier

January 2016

tion inferences about population history using single nucleotide polymorphism, DNA sequence and micr...

DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data.

CORNUET, Jean-Marie
PUDLO, Pierre
VEYSSIER, Julien
DEHNE-GARCIA, Alexandre
GAUTIER, Mathieu
LEBLOIS, Raphaël
MARIN, Jean-Michel
ESTOUP, Arnaud

January 2014

DIYABC is a software package for a comprehensive analysis of population history using approximate Ba...

Inference on population history and model checking using DNA sequence and microsatellite data with the software DIYABC (v1.0)

Cornuet, Jean-Marie
Ravigné, Virginie
Estoup, Arnaud

January 2010

Correspondance: estoup@supagro.inra.fr; UMR BGPI Equipe 5; UMR CBGPInternational audienceBackground ...

Infering population history with DIY ABC : a user-friendly approach to Approximate Bayesian Computation

Estoup, Arnaud
Marin, Jean-Michel
Robert, Christian P.
Beaumont, Mark A.
Santos, Filipe
Guillemaud, Thomas
Balding, David
Cornuet, Jean-Marie

April 2008

Genetic data obtained on population samples convey information about their evolutionary history. Inf...

Inferring population history with DIY ABC: a user-friendly approach to approximate Bayesian computation

Cornuet, J. M.
Santos, F.
Beaumont, M. A.
Robert, C. P.
Marin, J. M.
Balding, D. J.
Guillemaud, T.
Estoup, A.

January 2008

Genetic data obtained on population samples convey information about their evolutionary history. Inf...

Infering population history with DIY ABC: a user-friendly approach to Approximate Bayesian Computation.

Cornuet, Jean-Marie
Santos, Filipe
Beaumont, Marc,
Robert, Christian
Marin, Jean-Michel
Balding, David J.
Guillemaud, Thomas
Estoup, Arnaud

October 2008

International audienceGenetic data obtained on population samples convey information about their evo...

Inferring past demographic changes from contemporary genetic data: A simulation-based evaluation of the ABC methods implemented in DIYABC

Cabrera, Andrea A
Palsbøll, Per J

November 2017

Inferring the demographic history of species and their populations is crucial to understand their co...

Extending Approximate Bayesian Computation with Supervised Machine Learning to infer demographic history from genetic polymorphisms using DIYABC Random Forest

Collin, François‐david
Durif, Ghislain
Raynal, Louis
Lombaert, Eric
Gautier, Mathieu
Vitalis, Renaud
Marin, Jean-Michel
Estoup, Arnaud

November 2021

International audienceSimulation-based methods such as Approximate Bayesian Computation (ABC) are we...

Inferring Population Size History from Large Samples of Genome-Wide Molecular Data - An Approximate Bayesian Computation Approach.

Boitard, Simon
Rodríguez, Willy
Jay, Flora
Mona, Stefano
Austerlitz, Frédéric

November 2016

Inferring Population Size History from Large Samples of Genome-Wide Molecular Data - An Approximate ...

1

Jean-marie Cornuet
Julien Veyssier
Alexandre Dehne-garcia
Raphaël Leblois
Jean-michel Marin
Arnaud Estoup
Umr Cbgp

September 2016

DIYABC v2.0: a software to make approximate Bayesian computa-tion inferences about population histor...

DIYABC v2.0: a software to make approximate Bayesian computa-

Thieu Gautier
Raphaël Leblois
Jean-michel Marin
Arnaud Estoup
Biologie Computationnelle Lirmm Montpellier

January 2016

tion inferences about population history using single nucleotide polymorphism, DNA sequence and micr...

DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data.

CORNUET, Jean-Marie
PUDLO, Pierre
VEYSSIER, Julien
DEHNE-GARCIA, Alexandre
GAUTIER, Mathieu
LEBLOIS, Raphaël
MARIN, Jean-Michel
ESTOUP, Arnaud

January 2014

DIYABC is a software package for a comprehensive analysis of population history using approximate Ba...

Inference on population history and model checking using DNA sequence and microsatellite data with the software DIYABC (v1.0)

Cornuet, Jean-Marie
Ravigné, Virginie
Estoup, Arnaud

January 2010

Correspondance: estoup@supagro.inra.fr; UMR BGPI Equipe 5; UMR CBGPInternational audienceBackground ...

Infering population history with DIY ABC : a user-friendly approach to Approximate Bayesian Computation

Estoup, Arnaud
Marin, Jean-Michel
Robert, Christian P.
Beaumont, Mark A.
Santos, Filipe
Guillemaud, Thomas
Balding, David
Cornuet, Jean-Marie

April 2008

Genetic data obtained on population samples convey information about their evolutionary history. Inf...

Inferring population history with DIY ABC: a user-friendly approach to approximate Bayesian computation

Cornuet, J. M.
Santos, F.
Beaumont, M. A.
Robert, C. P.
Marin, J. M.
Balding, D. J.
Guillemaud, T.
Estoup, A.

January 2008

Genetic data obtained on population samples convey information about their evolutionary history. Inf...

Infering population history with DIY ABC: a user-friendly approach to Approximate Bayesian Computation.

Cornuet, Jean-Marie
Santos, Filipe
Beaumont, Marc,
Robert, Christian
Marin, Jean-Michel
Balding, David J.
Guillemaud, Thomas
Estoup, Arnaud

October 2008

International audienceGenetic data obtained on population samples convey information about their evo...

Inferring past demographic changes from contemporary genetic data: A simulation-based evaluation of the ABC methods implemented in DIYABC

Cabrera, Andrea A
Palsbøll, Per J

November 2017

Inferring the demographic history of species and their populations is crucial to understand their co...

Extending Approximate Bayesian Computation with Supervised Machine Learning to infer demographic history from genetic polymorphisms using DIYABC Random Forest

Collin, François‐david
Durif, Ghislain
Raynal, Louis
Lombaert, Eric
Gautier, Mathieu
Vitalis, Renaud
Marin, Jean-Michel
Estoup, Arnaud

November 2021

International audienceSimulation-based methods such as Approximate Bayesian Computation (ABC) are we...

Inferring Population Size History from Large Samples of Genome-Wide Molecular Data - An Approximate Bayesian Computation Approach.

Boitard, Simon
Rodríguez, Willy
Jay, Flora
Mona, Stefano
Austerlitz, Frédéric

November 2016

Inferring Population Size History from Large Samples of Genome-Wide Molecular Data - An Approximate ...

2014, pages 1–3 BIOINFORMATICS APPLICATIONS NOTE doi:10.1093/bioinformatics/btt763

Abstract

Extracted data

2014, pages 1–3 BIOINFORMATICS APPLICATIONS NOTE doi:10.1093/bioinformatics/btt763

Abstract

Extracted data

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