Genes Software – extended and integrated with the R, Matlab and Selegen
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta Scientiarum. Agronomy (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/32629 |
Resumo: | The Genes Software is useful for analyzing and processing phenotypic and molecular data using different biometric models. In the current version we dispose routines to integrate it with three other softwares: the R, Matlab and Selegen. This version allows in plant and animal breeding complementary analyzes in several breeding research fields as genomic selection, prediction of genetic values, use of neural networks and Fuzzy logic. The Genes is important to estimate parameters for understanding biological phenomena necessary to make decisions and predict the success and viability of strategic selection. The original programme can be downloaded in Portuguese, English or Spanish with the specific literature from (http://www.livraria.ufv.br/) and the user guide from (http://www.ufv.br/dbg/genes/genes.htm and http://www.ufv.br/dbg/biodata.htm). The user has also support in the address www.facebook.com/ GenesNews. The Genes is also integrated in the application softwares MS Word, MS Excel and Paint to efficiently import data and export results as numbers and figures. |
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Acta Scientiarum. Agronomy (Online) |
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Genes Software – extended and integrated with the R, Matlab and Selegensoftwarestatistical analysesgenetic analysesquantitative geneticbiometryMelhoramentoThe Genes Software is useful for analyzing and processing phenotypic and molecular data using different biometric models. In the current version we dispose routines to integrate it with three other softwares: the R, Matlab and Selegen. This version allows in plant and animal breeding complementary analyzes in several breeding research fields as genomic selection, prediction of genetic values, use of neural networks and Fuzzy logic. The Genes is important to estimate parameters for understanding biological phenomena necessary to make decisions and predict the success and viability of strategic selection. The original programme can be downloaded in Portuguese, English or Spanish with the specific literature from (http://www.livraria.ufv.br/) and the user guide from (http://www.ufv.br/dbg/genes/genes.htm and http://www.ufv.br/dbg/biodata.htm). The user has also support in the address www.facebook.com/ GenesNews. The Genes is also integrated in the application softwares MS Word, MS Excel and Paint to efficiently import data and export results as numbers and figures. Universidade Estadual de Maringá2016-09-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionpesquisaapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/3262910.4025/actasciagron.v38i3.32629Acta Scientiarum. Agronomy; Vol 38 No 4 (2016); 547-552Acta Scientiarum. Agronomy; v. 38 n. 4 (2016); 547-5521807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/32629/pdfCopyright (c) 2016 Acta Scientiarum. Agronomyinfo:eu-repo/semantics/openAccessCruz, Cosme Damião2022-02-20T21:47:30Zoai:periodicos.uem.br/ojs:article/32629Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2022-02-20T21:47:30Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Genes Software – extended and integrated with the R, Matlab and Selegen |
title |
Genes Software – extended and integrated with the R, Matlab and Selegen |
spellingShingle |
Genes Software – extended and integrated with the R, Matlab and Selegen Cruz, Cosme Damião software statistical analyses genetic analyses quantitative genetic biometry Melhoramento |
title_short |
Genes Software – extended and integrated with the R, Matlab and Selegen |
title_full |
Genes Software – extended and integrated with the R, Matlab and Selegen |
title_fullStr |
Genes Software – extended and integrated with the R, Matlab and Selegen |
title_full_unstemmed |
Genes Software – extended and integrated with the R, Matlab and Selegen |
title_sort |
Genes Software – extended and integrated with the R, Matlab and Selegen |
author |
Cruz, Cosme Damião |
author_facet |
Cruz, Cosme Damião |
author_role |
author |
dc.contributor.author.fl_str_mv |
Cruz, Cosme Damião |
dc.subject.por.fl_str_mv |
software statistical analyses genetic analyses quantitative genetic biometry Melhoramento |
topic |
software statistical analyses genetic analyses quantitative genetic biometry Melhoramento |
description |
The Genes Software is useful for analyzing and processing phenotypic and molecular data using different biometric models. In the current version we dispose routines to integrate it with three other softwares: the R, Matlab and Selegen. This version allows in plant and animal breeding complementary analyzes in several breeding research fields as genomic selection, prediction of genetic values, use of neural networks and Fuzzy logic. The Genes is important to estimate parameters for understanding biological phenomena necessary to make decisions and predict the success and viability of strategic selection. The original programme can be downloaded in Portuguese, English or Spanish with the specific literature from (http://www.livraria.ufv.br/) and the user guide from (http://www.ufv.br/dbg/genes/genes.htm and http://www.ufv.br/dbg/biodata.htm). The user has also support in the address www.facebook.com/ GenesNews. The Genes is also integrated in the application softwares MS Word, MS Excel and Paint to efficiently import data and export results as numbers and figures. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-09-02 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion pesquisa |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/32629 10.4025/actasciagron.v38i3.32629 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/32629 |
identifier_str_mv |
10.4025/actasciagron.v38i3.32629 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/32629/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 Acta Scientiarum. Agronomy info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 Acta Scientiarum. Agronomy |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Agronomy; Vol 38 No 4 (2016); 547-552 Acta Scientiarum. Agronomy; v. 38 n. 4 (2016); 547-552 1807-8621 1679-9275 reponame:Acta Scientiarum. Agronomy (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta Scientiarum. Agronomy (Online) |
collection |
Acta Scientiarum. Agronomy (Online) |
repository.name.fl_str_mv |
Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br |
_version_ |
1799305909923479552 |