A Plan 9 port of MrBayes: a program for Bayesian inference of phylogeny using Markov Chain Monte Carlo methods.

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985831%3A_____%2F03%3A09033071" target="_blank" >RIV/67985831:_____/03:09033071 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

A Plan 9 port of MrBayes: a program for Bayesian inference of phylogeny using Markov Chain Monte Carlo methods.

Popis výsledku v původním jazyce

MrBayes is a program for Bayesian inference of phylogeny using Markov Chain Monte Carlo methods. MrBayes has a console interface and uses a modified NEXUS format for data and batch files. It handles a wide range of probabilistic models for the evolutionof nucleotide and aminoacid sequences, restriction sites, and standard binary data. The user can set the priors used for the parameters and search for trees under topological constraints. The behavior of the Markov chain can be controlled by setting proposal probabilities for different move types and by invoking heated chains (Metropolis Coupling) to improve performance for difficult problems. Various options are available for summarizing the posterior distribution of the model parameters, including topology and branch lengths, and drawing inferences about ancestral states and site rates. The program is authored by John P. Huelsenbeck (Dept. Biology, University of Rochester) and Fredrik Ronquist (Evolutionary Biology Centre, Uppsala Uni

Název v anglickém jazyce

A Plan 9 port of MrBayes: a program for Bayesian inference of phylogeny using Markov Chain Monte Carlo methods.

Popis výsledku anglicky

MrBayes is a program for Bayesian inference of phylogeny using Markov Chain Monte Carlo methods. MrBayes has a console interface and uses a modified NEXUS format for data and batch files. It handles a wide range of probabilistic models for the evolutionof nucleotide and aminoacid sequences, restriction sites, and standard binary data. The user can set the priors used for the parameters and search for trees under topological constraints. The behavior of the Markov chain can be controlled by setting proposal probabilities for different move types and by invoking heated chains (Metropolis Coupling) to improve performance for difficult problems. Various options are available for summarizing the posterior distribution of the model parameters, including topology and branch lengths, and drawing inferences about ancestral states and site rates. The program is authored by John P. Huelsenbeck (Dept. Biology, University of Rochester) and Fredrik Ronquist (Evolutionary Biology Centre, Uppsala Uni

Druh

A - Audiovizuální tvorba

CEP obor

DB - Geologie a mineralogie

OECD FORD obor

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Projekt

<a href="/cs/project/KSK6005114" target="_blank" >KSK6005114: Biodiversita a funkce ekologických soustav</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2003

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

ISBN

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Místo vydání

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Název nakladatele resp. objednatele

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Verze

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Identifikační číslo nosiče

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