GenomicLand: Software for genome-wide association studies and genomic prediction

Detalhes bibliográficos
Autor(a) principal: Azevedo, Camila Ferreira
Data de Publicação: 2019
Outros Autores: Nascimento, Moysés, Fontes, Vitor Cunha, Silva, Fabyano Fonseca e, Resende, Marcos Deon Vilela de, Cruz, Cosme Damião
Tipo de documento: Artigo
Idioma: eng
por
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45361
Resumo:  GenomicLand is free software intended for prediction and genomic association studies based on the R software. This computational tool has an intuitive interface and supports large genomic databases, without requiring the user to use the command line. GenomicLand is available in English, can be downloaded from the Internet (https://licaeufv.wordpress.com/), and requires the Windows or Linux operating system. The software includes statistical procedures based on mixed models, Bayesian inference, dimensionality reduction and artificial intelligence. Examples of data files that can be processed by GenomicLand are available. The examples are useful to learn about the operation of the modules and statistical procedures.
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spelling GenomicLand: Software for genome-wide association studies and genomic predictionstatistical analysisgenomic analysismolecular markersbiometrics. GenomicLand is free software intended for prediction and genomic association studies based on the R software. This computational tool has an intuitive interface and supports large genomic databases, without requiring the user to use the command line. GenomicLand is available in English, can be downloaded from the Internet (https://licaeufv.wordpress.com/), and requires the Windows or Linux operating system. The software includes statistical procedures based on mixed models, Bayesian inference, dimensionality reduction and artificial intelligence. Examples of data files that can be processed by GenomicLand are available. The examples are useful to learn about the operation of the modules and statistical procedures.Universidade Estadual de Maringá2019-03-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/4536110.4025/actasciagron.v41i1.45361Acta Scientiarum. Agronomy; Vol 41 (2019): Publicação Contínua; e45361Acta Scientiarum. Agronomy; v. 41 (2019): Publicação Contínua; e453611807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMengporhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45361/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45361/751375148043Copyright (c) 2019 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAzevedo, Camila FerreiraNascimento, MoysésFontes, Vitor CunhaSilva, Fabyano Fonseca eResende, Marcos Deon Vilela deCruz, Cosme Damião2019-09-24T12:25:27Zoai:periodicos.uem.br/ojs:article/45361Revistahttp://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:2019-09-24T12:25:27Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv GenomicLand: Software for genome-wide association studies and genomic prediction
title GenomicLand: Software for genome-wide association studies and genomic prediction
spellingShingle GenomicLand: Software for genome-wide association studies and genomic prediction
Azevedo, Camila Ferreira
statistical analysis
genomic analysis
molecular markers
biometrics.
title_short GenomicLand: Software for genome-wide association studies and genomic prediction
title_full GenomicLand: Software for genome-wide association studies and genomic prediction
title_fullStr GenomicLand: Software for genome-wide association studies and genomic prediction
title_full_unstemmed GenomicLand: Software for genome-wide association studies and genomic prediction
title_sort GenomicLand: Software for genome-wide association studies and genomic prediction
author Azevedo, Camila Ferreira
author_facet Azevedo, Camila Ferreira
Nascimento, Moysés
Fontes, Vitor Cunha
Silva, Fabyano Fonseca e
Resende, Marcos Deon Vilela de
Cruz, Cosme Damião
author_role author
author2 Nascimento, Moysés
Fontes, Vitor Cunha
Silva, Fabyano Fonseca e
Resende, Marcos Deon Vilela de
Cruz, Cosme Damião
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Azevedo, Camila Ferreira
Nascimento, Moysés
Fontes, Vitor Cunha
Silva, Fabyano Fonseca e
Resende, Marcos Deon Vilela de
Cruz, Cosme Damião
dc.subject.por.fl_str_mv statistical analysis
genomic analysis
molecular markers
biometrics.
topic statistical analysis
genomic analysis
molecular markers
biometrics.
description  GenomicLand is free software intended for prediction and genomic association studies based on the R software. This computational tool has an intuitive interface and supports large genomic databases, without requiring the user to use the command line. GenomicLand is available in English, can be downloaded from the Internet (https://licaeufv.wordpress.com/), and requires the Windows or Linux operating system. The software includes statistical procedures based on mixed models, Bayesian inference, dimensionality reduction and artificial intelligence. Examples of data files that can be processed by GenomicLand are available. The examples are useful to learn about the operation of the modules and statistical procedures.
publishDate 2019
dc.date.none.fl_str_mv 2019-03-13
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45361
10.4025/actasciagron.v41i1.45361
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45361
identifier_str_mv 10.4025/actasciagron.v41i1.45361
dc.language.iso.fl_str_mv eng
por
language eng
por
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45361/pdf
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45361/751375148043
dc.rights.driver.fl_str_mv Copyright (c) 2019 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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 41 (2019): Publicação Contínua; e45361
Acta Scientiarum. Agronomy; v. 41 (2019): Publicação Contínua; e45361
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
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