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

被引：11
|
作者：
Azevedo, Camila Ferreira [1 ]
Nascimento, Moyses [1 ]
Fontes, Vitor Cunha [2 ]
Fonseca e Silva, Fabyano [3 ]
Vilela de Resende, Marcos Deon [4 ]
Cruz, Cosme Damiao [5 ]
机构：
[1] Univ Fed Vicosa, Dept Estat, Lab Inteligencia Comp, Av PH Rolfs S-N,Campus Univ, BR-36570900 Vicosa, MG, Brazil
[2] Univ Fed Vicosa, Grp Pesquisa Interacao Atmosfera Biosfera, Dept Engn Agr, Vicosa, MG, Brazil
[3] Univ Fed Vicosa, Dept Zootecnia, Vicosa, MG, Brazil
[4] Univ Fed Vicosa, Embrapa Florestas, Dept Engn Florestal, Vicosa, MG, Brazil
[5] Univ Fed Vicosa, Dept Biol Geral, Lab Bioinformat, Vicosa, MG, Brazil
来源：
ACTA SCIENTIARUM-AGRONOMY | 2019年 / 41卷
关键词：
statistical analysis; genomic analysis; molecular markers; biometrics; CARCASS TRAITS; SELECTION; MARKERS; MODELS;
D O I：
10.4025/actasciagron.v41i1.45361
中图分类号：
S3 [农学（农艺学）];
学科分类号：
0901 ;
摘要：
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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页数：7
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