EvolQG - An R package for evolutionary quantitative genetics [version 2; referees: 1 approved, 2 approved with reservations]
We present an open source package for performing evolutionary quantitative genetics analyses in the R environment for statistical computing. Evolutionary theory shows that evolution depends critically on the available variation in a given population. When dealing with many quantitative traits this v...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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F1000 Research Ltd
2016-06-01
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| Series: | F1000Research |
| Subjects: | |
| Online Access: | http://f1000research.com/articles/4-925/v2 |
| _version_ | 1818199478852648960 |
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| author | Diogo Melo Guilherme Garcia Alex Hubbe Ana Paula Assis Gabriel Marroig |
| author_facet | Diogo Melo Guilherme Garcia Alex Hubbe Ana Paula Assis Gabriel Marroig |
| author_sort | Diogo Melo |
| collection | DOAJ |
| description | We present an open source package for performing evolutionary quantitative genetics analyses in the R environment for statistical computing. Evolutionary theory shows that evolution depends critically on the available variation in a given population. When dealing with many quantitative traits this variation is expressed in the form of a covariance matrix, particularly the additive genetic covariance matrix or sometimes the phenotypic matrix, when the genetic matrix is unavailable and there is evidence the phenotypic matrix is sufficiently similar to the genetic matrix. Given this mathematical representation of available variation, the EvolQG package provides functions for calculation of relevant evolutionary statistics; estimation of sampling error; corrections for this error; matrix comparison via correlations, distances and matrix decomposition; analysis of modularity patterns; and functions for testing evolutionary hypotheses on taxa diversification. |
| first_indexed | 2024-12-12T02:22:25Z |
| format | Article |
| id | doaj.art-4869f914078e4d79a1afb15c0a9f4f49 |
| institution | Directory Open Access Journal |
| issn | 2046-1402 |
| language | English |
| last_indexed | 2024-12-12T02:22:25Z |
| publishDate | 2016-06-01 |
| publisher | F1000 Research Ltd |
| record_format | Article |
| series | F1000Research |
| spelling | doaj.art-4869f914078e4d79a1afb15c0a9f4f492022-12-22T00:41:39ZengF1000 Research LtdF1000Research2046-14022016-06-01410.12688/f1000research.7082.29735EvolQG - An R package for evolutionary quantitative genetics [version 2; referees: 1 approved, 2 approved with reservations]Diogo Melo0Guilherme Garcia1Alex Hubbe2Ana Paula Assis3Gabriel Marroig4Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, São Paulo, BrazilDepartamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, São Paulo, BrazilDepartamento de Oceanografia, Instituto de Geociências, Universidade Federal da Bahia, Salvador, BrazilDepartamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, São Paulo, BrazilDepartamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, São Paulo, BrazilWe present an open source package for performing evolutionary quantitative genetics analyses in the R environment for statistical computing. Evolutionary theory shows that evolution depends critically on the available variation in a given population. When dealing with many quantitative traits this variation is expressed in the form of a covariance matrix, particularly the additive genetic covariance matrix or sometimes the phenotypic matrix, when the genetic matrix is unavailable and there is evidence the phenotypic matrix is sufficiently similar to the genetic matrix. Given this mathematical representation of available variation, the EvolQG package provides functions for calculation of relevant evolutionary statistics; estimation of sampling error; corrections for this error; matrix comparison via correlations, distances and matrix decomposition; analysis of modularity patterns; and functions for testing evolutionary hypotheses on taxa diversification.http://f1000research.com/articles/4-925/v2BioinformaticsEvolutionary/Comparative Genetics |
| spellingShingle | Diogo Melo Guilherme Garcia Alex Hubbe Ana Paula Assis Gabriel Marroig EvolQG - An R package for evolutionary quantitative genetics [version 2; referees: 1 approved, 2 approved with reservations] F1000Research Bioinformatics Evolutionary/Comparative Genetics |
| title | EvolQG - An R package for evolutionary quantitative genetics [version 2; referees: 1 approved, 2 approved with reservations] |
| title_full | EvolQG - An R package for evolutionary quantitative genetics [version 2; referees: 1 approved, 2 approved with reservations] |
| title_fullStr | EvolQG - An R package for evolutionary quantitative genetics [version 2; referees: 1 approved, 2 approved with reservations] |
| title_full_unstemmed | EvolQG - An R package for evolutionary quantitative genetics [version 2; referees: 1 approved, 2 approved with reservations] |
| title_short | EvolQG - An R package for evolutionary quantitative genetics [version 2; referees: 1 approved, 2 approved with reservations] |
| title_sort | evolqg an r package for evolutionary quantitative genetics version 2 referees 1 approved 2 approved with reservations |
| topic | Bioinformatics Evolutionary/Comparative Genetics |
| url | http://f1000research.com/articles/4-925/v2 |
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