Genes Software – extended and integrated with the R, Matlab and Selegen

Detalhes bibliográficos
Autor(a) principal: Cruz, Cosme Damião
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. 
id UEM-5_7027304912c9134d986f12ba4b4327c2
oai_identifier_str oai:periodicos.uem.br/ojs:article/32629
network_acronym_str UEM-5
network_name_str Acta Scientiarum. Agronomy (Online)
repository_id_str
spelling 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