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Analysis of genetic sequences
- HyPhy (Hy pothesis Testing using Phy logenies) is an open-source software package for the analysis of genetic sequences (in particular the inference of natural selection) using techniques in phylogenetics, molecular evolution, and machine learning. It features a rich scripting language for limitless customization of analyses.
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HyPhy ( Hy pothesis Testing using Phy logenies) is an open-source software package for the analysis of genetic sequences (in particular the inference of natural selection) using techniques in phylogenetics, molecular evolution, and machine learning. It features a rich scripting language for limitless customization of analyses.
Aug 27, 2019 · HYpothesis testing using PHYlogenies (HyPhy) is an open-source software package for comparative sequence analysis using stochastic evolutionary models for codon, protein, nucleotide, and other discrete character data.
- Sergei L Kosakovsky Pond, Art F Y Poon, Ryan Velazquez, Steven Weaver, N Lance Hepler, Ben Murrell, ...
- 10.1093/molbev/msz197
- 2020
- Mol Biol Evol. 2020 Jan; 37(1): 295-299.
An open-source software package. for comparative sequence analysis. using stochastic evolutionary models. Download. Information, documentation, and news about the HyPhy software package.
HYPHY (/ ˈ h aɪ f aɪ / HY-fy) is a free multiplatform (Mac, Windows and UNIX) computational phylogenetics software package intended to perform maximum likelihood analyses of genetic sequence data and equipped with tools to test various statistical hypotheses.
- Sergei L Kosakovsky Pond, Art FY Poon, Steven Weaver, N. Lance Hepler, Martin Smith.
- English
- 2.5.24, / 17 December 2020
- Computational phylogenetics
Using HyPhy to detect selection. These tutorials outline how to prepare data and execute analyses in HyPhy's suite of methods for detecting natural selection in protein-coding alignments. Specifically, this tutorial explains how to use the current release of HyPhy from the command line. Before you begin.
HyPhy is an open-source software package for the analysis of genetic sequences using techniques in phylogenetics, molecular evolution, and machine learning. It features a complete graphical user interface (GUI) and a rich scripting language for limitless customization of analyses.
