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NAToRA, a relatedness-pruning method to minimize the loss of dataset size in genetic and omics analyses
Thiago Peixoto Leal, Vinicius C Furlan, Mateus Henrique Gouveia, Julia Maria Saraiva Duarte, Pablo AS Fonseca, Rafael Tou, Marilia de Oliveira Scliar, View ORCID ProfileGilderlanio Santana de Araujo, Camila Zolini, Maria Gabriela Campolina Diniz Peixoto, Maria Raquel Santos Carvalho, Maria Fernanda Lima-Costa, Robert H Gilman, Eduardo Tarazona-Santos, Maíra Ribeiro Rodrigues
doi: https://doi.org/10.1101/2021.10.21.465343
Thiago Peixoto Leal
1Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
2Lerner Research Institute, Genomic Medicine, Cleveland Clinic Foundation, Cleveland, OH, USA
Vinicius C Furlan
1Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
Mateus Henrique Gouveia
1Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
3Center for Research on Genomics & Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
Julia Maria Saraiva Duarte
1Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
Pablo AS Fonseca
1Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
4Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, Canada
Rafael Tou
1Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
Marilia de Oliveira Scliar
5Centro de Pesquisa sobre o Genoma Humano e Células-Tronco, Instituto de Biociências, Universidade de São Paulo, São Paulo, Brazil
Gilderlanio Santana de Araujo
6Laboratório de Genética Humana e Médica, Programa de Pós-Graduação em Biologia Molecular, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belem, Brazil
Camila Zolini
1Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
7Beagle, Belo Horizonte, Brazil
8Mosaico Translational Genomics Initiative, Belo Horizonte, Brazil
Maria Gabriela Campolina Diniz Peixoto
9Embrapa Gado de Leite, Embrapa, Juiz de Fora, Brazil
Maria Raquel Santos Carvalho
1Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
Maria Fernanda Lima-Costa
10Centro de Pesquisa Rene Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Brazil
Robert H Gilman
11Universidad Peruana Cayetano Heredia, Lima, Perú
12Dept of International Health, Johns Hopkins School of Public Health Baltimore, Baltimore, USA
Eduardo Tarazona-Santos
1Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
8Mosaico Translational Genomics Initiative, Belo Horizonte, Brazil
11Universidad Peruana Cayetano Heredia, Lima, Perú
Maíra Ribeiro Rodrigues
1Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
13Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, Brazil
Posted October 23, 2021.
NAToRA, a relatedness-pruning method to minimize the loss of dataset size in genetic and omics analyses
Thiago Peixoto Leal, Vinicius C Furlan, Mateus Henrique Gouveia, Julia Maria Saraiva Duarte, Pablo AS Fonseca, Rafael Tou, Marilia de Oliveira Scliar, Gilderlanio Santana de Araujo, Camila Zolini, Maria Gabriela Campolina Diniz Peixoto, Maria Raquel Santos Carvalho, Maria Fernanda Lima-Costa, Robert H Gilman, Eduardo Tarazona-Santos, Maíra Ribeiro Rodrigues
bioRxiv 2021.10.21.465343; doi: https://doi.org/10.1101/2021.10.21.465343
NAToRA, a relatedness-pruning method to minimize the loss of dataset size in genetic and omics analyses
Thiago Peixoto Leal, Vinicius C Furlan, Mateus Henrique Gouveia, Julia Maria Saraiva Duarte, Pablo AS Fonseca, Rafael Tou, Marilia de Oliveira Scliar, Gilderlanio Santana de Araujo, Camila Zolini, Maria Gabriela Campolina Diniz Peixoto, Maria Raquel Santos Carvalho, Maria Fernanda Lima-Costa, Robert H Gilman, Eduardo Tarazona-Santos, Maíra Ribeiro Rodrigues
bioRxiv 2021.10.21.465343; doi: https://doi.org/10.1101/2021.10.21.465343
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