GenomicLand: software for genome-wide association studies and genomic prediction.

Detalhes bibliográficos
Autor(a) principal: AZEVEDO, C. F.
Data de Publicação: 2019
Outros Autores: NASCIMENTO, M., FONTES, V. C., SILVA, F. F. e, RESENDE, M. D. V. de, CRUZ, C. D.
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1109835
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 prediction.Genomic analysisMolecular markersBiometricsPropagação vegetalMelhoramento genéticoStatistical analysisGenomicLand 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.CAMILA FERREIRA AZEVEDO, Universidade Federal de Viçosa; MOYSÉS NASCIMENTO, Universidade Federal de Viçosa; VITOR CUNHA FONTES, Universidade Federal de Viçosa; FABYANO FONSECA E SILVA, Universidade Federal de Viçosa; MARCOS DEON VILELA DE RESENDE, CNPF; COSME DAMIÃO CRUZ, Universidade Federal de Viçosa.AZEVEDO, C. F.NASCIMENTO, M.FONTES, V. C.SILVA, F. F. eRESENDE, M. D. V. deCRUZ, C. D.2019-06-13T00:41:11Z2019-06-13T00:41:11Z2019-06-1220192019-10-30T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleActa Scientiarum. Agronomy, v. 41, e45361, 2019. 7 p.http://www.alice.cnptia.embrapa.br/alice/handle/doc/110983510.4025/actasciagron.v41i1.45361porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2019-06-13T00:41:17Zoai:www.alice.cnptia.embrapa.br:doc/1109835Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542019-06-13T00:41:17falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542019-06-13T00:41:17Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)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, C. F.
Genomic analysis
Molecular markers
Biometrics
Propagação vegetal
Melhoramento genético
Statistical analysis
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, C. F.
author_facet AZEVEDO, C. F.
NASCIMENTO, M.
FONTES, V. C.
SILVA, F. F. e
RESENDE, M. D. V. de
CRUZ, C. D.
author_role author
author2 NASCIMENTO, M.
FONTES, V. C.
SILVA, F. F. e
RESENDE, M. D. V. de
CRUZ, C. D.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv CAMILA FERREIRA AZEVEDO, Universidade Federal de Viçosa; MOYSÉS NASCIMENTO, Universidade Federal de Viçosa; VITOR CUNHA FONTES, Universidade Federal de Viçosa; FABYANO FONSECA E SILVA, Universidade Federal de Viçosa; MARCOS DEON VILELA DE RESENDE, CNPF; COSME DAMIÃO CRUZ, Universidade Federal de Viçosa.
dc.contributor.author.fl_str_mv AZEVEDO, C. F.
NASCIMENTO, M.
FONTES, V. C.
SILVA, F. F. e
RESENDE, M. D. V. de
CRUZ, C. D.
dc.subject.por.fl_str_mv Genomic analysis
Molecular markers
Biometrics
Propagação vegetal
Melhoramento genético
Statistical analysis
topic Genomic analysis
Molecular markers
Biometrics
Propagação vegetal
Melhoramento genético
Statistical analysis
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 2019-06-13T00:41:11Z
2019-06-13T00:41:11Z
2019-06-12
2019
2019-10-30T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Acta Scientiarum. Agronomy, v. 41, e45361, 2019. 7 p.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1109835
10.4025/actasciagron.v41i1.45361
identifier_str_mv Acta Scientiarum. Agronomy, v. 41, e45361, 2019. 7 p.
10.4025/actasciagron.v41i1.45361
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1109835
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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