Thiago Oliveira
Thiago Oliveira
Introduction
Posts
Projects
Talks
Publications
Conferences
Courses
Gallery
Accomplishments
Contact
CV
Light
Dark
Automatic
Genetic
Developing best practices for genotyping-by-sequencing analysis using linkage maps as benchmarks
Reads2Map improves GBS data analysis by addressing genotyping errors, optimizing linkage maps, and offering dataset-specific solutions with a user-friendly app.
Cristiane Hayumi Taniguti
,
Lucas Mitsuo Taniguti
,
Rodrigo Rampazo Amadeu
,
Marcelo Mollinari
,
Guilherme da Silva Pereira
,
Oscar Riera-Lizarazu
,
Jeekin Lau
,
David Byrne
,
Gabriel de Siqueira Gesteira
,
Thiago de Paula Oliveira
,
Getulio Caixeta Ferreira
,
Antonio Augusto Franco Garcia
Cite
Code
Project
DOI
Package Link
Analysis of non-additive genetic variance in breeding programmes
Developed framework for temporal and genomic analysis of additive and dominance genetic variance
Temporal and genomic analysis of additive genetic variance in breeding programmes
Evaluate the temporal and genomic analysis of additive genetic variance in different stages of a breeding programme
Leticia A. P. Lara
,
Ivan Pocrnic
,
Thiago de Paula Oliveira
,
Chris Gaynor
,
Gregor Gorjanc
PDF
Cite
Project
DOI
Journal Link
Partition/Decomposition of Breeding Values by Paths of Information
Partitioning genetic trends to quantify the sources of genetic gain in breeding programmes
Gregor Gorjanc
,
Jana Obsteter
,
Thiago de Paula Oliveira
Cite
Project
DOI
Package Link
Statistical models applied to quantitative genetics and genomics of plant breeding
Quantitative genetics is a field of biology studying the effect of genetic and environmental factors on quantitative traits.
Cite
×