Data/hora: 13/06/2024 04:42:09

Provedor de dados: 	1	
País: 	Brazil	
Título: 	GenomicLand: Software for genome-wide association studies and genomic prediction	
Autores: 	Azevedo, Camila Ferreira; Nascimento, Moysés; Fontes, Vitor Cunha; Silva, Fabyano Fonseca e; Resende, Marcos Deon Vilela de; Cruz, Cosme Damião.	
Data: 	2019-03-13	
Ano: 	2019	
Palavras-chave: 	Statistical analysis; Genomic analysis; Molecular markers; Biometrics.	
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.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45361

10.4025/actasciagron.v41i1.45361	
Editor: 	Universidade Estadual de Maringá	
Relação: 	http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45361/pdf

http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45361/751375148043	
Formato: 	application/pdf

application/pdf	
Fonte: 	Acta Scientiarum. Agronomy; Vol 41 (2019): Publicação Contínua; e45361

Acta Scientiarum. Agronomy; v. 41 (2019): Publicação Contínua; e45361

1807-8621

1679-9275	
Fonte: 	Copyright (c) 2019 Acta Scientiarum. Agronomy

https://creativecommons.org/licenses/by/4.0