PyEvolve: a toolkit for statistical modelling of molecular evolution

[Statistics for Biology and Health] Stat

[Statistics for Biology and Health] Statistical Methods in Molecular Evolution || Markov Models in Molecular Evolution

✍ Galtier, Nicolas 📂 Article 📅 2005 🏛 Springer-Verlag 🌐 English ⚖ 237 KB

In The Field Of Molecular Evolution, Inferences About Past Evolutionary Events Are Made Using Molecular Data From Currently Living Species. With The Availability Of Genomic Data From Multiple Related Species, Molecular Evolution Has Become One Of The Most Active And Fastest Growing Fields Of Study I

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[Statistics for Biology and Health] Statistical Methods in Molecular Evolution || Models of Microsatellite Evolution

✍ Calabrese, Peter 📂 Article 📅 2005 🏛 Springer-Verlag 🌐 English ⚖ 246 KB

In The Field Of Molecular Evolution, Inferences About Past Evolutionary Events Are Made Using Molecular Data From Currently Living Species. With The Availability Of Genomic Data From Multiple Related Species, Molecular Evolution Has Become One Of The Most Active And Fastest Growing Fields Of Study I

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[Statistics for Biology and Health] Statistical Methods in Molecular Evolution || Markov Models of Protein Sequence Evolution

✍ Dimmic, Matthew W. 📂 Article 📅 2005 🏛 Springer-Verlag 🌐 English ⚖ 422 KB

In The Field Of Molecular Evolution, Inferences About Past Evolutionary Events Are Made Using Molecular Data From Currently Living Species. With The Availability Of Genomic Data From Multiple Related Species, Molecular Evolution Has Become One Of The Most Active And Fastest Growing Fields Of Study I

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[Statistics for Biology and Health] Statistical Methods in Molecular Evolution || Population Genetics of Molecular Evolution

✍ Bustamante, Carlos D. 📂 Article 📅 2005 🏛 Springer-Verlag 🌐 English ⚖ 413 KB

In The Field Of Molecular Evolution, Inferences About Past Evolutionary Events Are Made Using Molecular Data From Currently Living Species. With The Availability Of Genomic Data From Multiple Related Species, Molecular Evolution Has Become One Of The Most Active And Fastest Growing Fields Of Study I

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[Statistics for Biology and Health] Statistical Methods in Molecular Evolution || Phylogenetic Hidden Markov Models

✍ Siepel, Adam 📂 Article 📅 2005 🏛 Springer-Verlag 🌐 English ⚖ 477 KB

In The Field Of Molecular Evolution, Inferences About Past Evolutionary Events Are Made Using Molecular Data From Currently Living Species. With The Availability Of Genomic Data From Multiple Related Species, Molecular Evolution Has Become One Of The Most Active And Fastest Growing Fields Of Study I

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[Statistics for Biology and Health] Statistical Methods in Molecular Evolution Volume 585 || Bayesian Analysis of Molecular Evolution Using MrBayes

✍ Huelsenbeck, John P. 📂 Article 📅 2005 🏛 Springer-Verlag ⚖ 441 KB