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Abstract

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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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1009240
Key topics
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Genome-wide association study;
Dimensionality reduction;
Bayesian inference
Subject
Statistics;
Computer programs;
Artificial intelligence;
Bayesian analysis;
Genomes;
Software;
Windows (computer programs);
Computer applications;
Statistical analysis;
Mathematical models;
Statistical inference;
Genomics
Identifier / keyword
statistical analysis; Genome-wide association study; Dimensionality reduction; Bayesian inference; genomic analysis; molecular markers; biometrics
Title
GenomicLand: Software for genome-wide association studies and genomic prediction
Author
Camila Ferreira Azevedo; Nascimento, Moysés; Vitor Cunha Fontes; Fabyano Fonseca e Silva; Marcos Deon Vilela de Resende; Cosme Damião Cruz
Publication title
Acta Scientiarum. Agronomy; Maringa
Volume
41
Pages
e45361
Publication year
2019
Publication date
2019
Section
Biometria, Modelagem e Estatística
Publisher
Editora da Universidade Estadual de Maringá - EDUEM
Place of publication
Maringa
Country of publication
Brazil
Publication subject
Agriculture
ISSN
16799275
e-ISSN
18078621
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2018-11-13
Milestone dates
2019-03-13 (Created); 2018-11-14 (Submitted); 2019-03-13 (Modified)
Publication history
 
 
   First posting date
13 Nov 2018
DOI
https://doi.org/10.4025/actasciagron.v41i1.45361
ProQuest document ID
2194607721
Document URL
https://www.proquest.com/scholarly-journals/genomicland-software-genome-wide-association/docview/2194607721/se-2?accountid=208611
Copyright
© 2019. This work is licensed under https://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-10-05
Database
ProQuest One Academic