Título:	GenomicLand: software for genome-wide association studies and genomic prediction.
Autor:	AZEVEDO, C. F. NASCIMENTO, M. FONTES, V. C. SILVA, F. F. e RESENDE, M. D. V. de CRUZ, C. D.
Afiliación:	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.
Año:	2019
Referencia:	Acta Scientiarum. Agronomy, v. 41, e45361, 2019. 7 p.
Descripción:	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.
NAL Thesaurus:	Statistical analysis
Palabras clave:	Genomic analysis Molecular markers Biometrics Propagação vegetal Melhoramento genético
DOI:	10.4025/actasciagron.v41i1.45361
Tipo de Material:	Artigo de periódico
Acceso:	openAccess
Aparece en las colecciones:	Artigo em periódico indexado (CNPF)