COLONISE: a computer program to study colonization processes in metapopulations

M Foll; OE Gaggiotti

doi:10.1111/j.1471-8286.01030.x

COLONISE: a computer program to study colonization processes in metapopulations

M Foll^*, OE Gaggiotti

^*Corresponding author for this work

School of Biology

Research output: Contribution to journal › Article › peer-review

Abstract

COLONISE is a user-friendly Microsoft (R) Windows software for the study of colonization events in natural populations. It determines the composition of the newly colonized population and makes inferences about the factors that influenced individuals to establish a new population. COLONISE uses a hierarchical Bayesian model to combine multilocus genotype data with demographic and environmental data, and a reversible jump Markov chain Monte Carlo (MCMC) algorithm to perform posterior density estimations. The software is written in C and C + + for the graphical user interface and is available at http://www2.ujf-grenoble.fr/ leca/presentation.html. The software integrates a tool to draw posterior density functions (histogram, running mean, traces, etc.) and to estimate parameters from them (mean, mode, variance, HPDI, etc.).

Original language	English
Pages (from-to)	705-707
Number of pages	3
Journal	Molecular Ecology Notes
Volume	5
Issue number	3
DOIs	https://doi.org/10.1111/j.1471-8286.01030.x
Publication status	Published - Sept 2005

Keywords

Bayesian methods
multilocus genotypes
parameters estimation
colonization
MCMC

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10.1111/j.1471-8286.01030.x

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title = "COLONISE: a computer program to study colonization processes in metapopulations",

abstract = "COLONISE is a user-friendly Microsoft (R) Windows software for the study of colonization events in natural populations. It determines the composition of the newly colonized population and makes inferences about the factors that influenced individuals to establish a new population. COLONISE uses a hierarchical Bayesian model to combine multilocus genotype data with demographic and environmental data, and a reversible jump Markov chain Monte Carlo (MCMC) algorithm to perform posterior density estimations. The software is written in C and C + + for the graphical user interface and is available at http://www2.ujf-grenoble.fr/ leca/presentation.html. The software integrates a tool to draw posterior density functions (histogram, running mean, traces, etc.) and to estimate parameters from them (mean, mode, variance, HPDI, etc.).",

keywords = "Bayesian methods, multilocus genotypes, parameters estimation, colonization, MCMC",

author = "M Foll and OE Gaggiotti",

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AU - Gaggiotti, OE

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AB - COLONISE is a user-friendly Microsoft (R) Windows software for the study of colonization events in natural populations. It determines the composition of the newly colonized population and makes inferences about the factors that influenced individuals to establish a new population. COLONISE uses a hierarchical Bayesian model to combine multilocus genotype data with demographic and environmental data, and a reversible jump Markov chain Monte Carlo (MCMC) algorithm to perform posterior density estimations. The software is written in C and C + + for the graphical user interface and is available at http://www2.ujf-grenoble.fr/ leca/presentation.html. The software integrates a tool to draw posterior density functions (histogram, running mean, traces, etc.) and to estimate parameters from them (mean, mode, variance, HPDI, etc.).

KW - Bayesian methods

KW - multilocus genotypes

KW - parameters estimation

KW - colonization

KW - MCMC

U2 - 10.1111/j.1471-8286.01030.x

DO - 10.1111/j.1471-8286.01030.x

M3 - Article

SN - 1471-8278

VL - 5

SP - 705

EP - 707

JO - Molecular Ecology Notes

JF - Molecular Ecology Notes

IS - 3

ER -

COLONISE: a computer program to study colonization processes in metapopulations

Abstract

Keywords

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