Author

Thiago de Paula Oliveira

Roslin InstituteORCID 0000-0002-4555-2584Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:statistical model· 3 Approach:Bayesian inference· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Gregor GorjanciD· 2 shared Ivan PocrnićiD· 2 shared Antônio Augusto Franco GarciaiD· 1 shared Cristiane Hayumi TanigutiiD· 1 shared David ByrneiD· 1 shared Gabriel de Siqueira GesteiraiD· 1 shared Getulio Caixeta FerreiraiD· 1 shared Guilherme da Silva PereiraiD· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersGenetics

Gregor GorjancORCID

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3 papers

Recent·Most cited

BioinformaticsGigaSciencePeer-reviewedDec 28, 2022

Developing best practices for genotyping-by-sequencing analysis in the construction of linkage maps

Cristiane Hayumi Taniguti, Lucas Mitsuo Taniguti, Rodrigo Rampazo Amadeu…·Antônio Augusto Franco Garcia

The paper develops a workflow to improve linkage map construction from GBS data by evaluating and selecting dataset-independent genotype calling and mapping methods.

15 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky

GeneticsbioRxivPreprintJan 10, 2022

A method for partitioning trends in genetic mean and variance to understand breeding practices

Thiago de Paula Oliveira, Jana Obšteter, Ivan Pocrnić…·Gregor Gorjanc

The paper introduces a method to partition genetic mean and variance contributions in breeding programs to better understand selection paths and optimize breeding strategies.

1 citation

statistical modelbenchmarking

𝕏 PostBluesky

GeneticsHeredityPeer-reviewedDec 15, 2021

Temporal and genomic analysis of additive genetic variance in breeding programmes

Letícia Aparecida de Castro Lara, Ivan Pocrnić, Thiago de Paula Oliveira…·Gregor Gorjanc

This paper introduces a framework for temporal and genomic analysis of additive genetic variance in breeding programs, showing good concordance between simulated and estimated variances.

43 citationstop 3%

statistical modelBayesian inference

𝕏 PostBluesky