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An SGSGeneloss-Based Method for Constructing a Gene Presence-Absence Table Using Mosdepth.
Tay Fernandez, Cassandria G; Marsh, Jacob I; Nestor, Benjamin J; Gill, Mitchell; Golicz, Agnieszka A; Bayer, Philipp E; Edwards, David.
Afiliação
  • Tay Fernandez CG; Applied Bioinformatics Group, School of Biological Sciences, The University of Western Australia, Perth, WA, Australia.
  • Marsh JI; Applied Bioinformatics Group, School of Biological Sciences, The University of Western Australia, Perth, WA, Australia.
  • Nestor BJ; Applied Bioinformatics Group, School of Biological Sciences, The University of Western Australia, Perth, WA, Australia.
  • Gill M; Applied Bioinformatics Group, School of Biological Sciences, The University of Western Australia, Perth, WA, Australia.
  • Golicz AA; Department of Plant Breeding, Justus Liebig University Gießen, Gießen, Germany.
  • Bayer PE; Applied Bioinformatics Group, School of Biological Sciences, The University of Western Australia, Perth, WA, Australia.
  • Edwards D; Applied Bioinformatics Group, School of Biological Sciences, The University of Western Australia, Perth, WA, Australia. dave.edwards@uwa.edu.au.
Methods Mol Biol ; 2512: 73-80, 2022.
Article em En | MEDLINE | ID: mdl-35818000
ABSTRACT
Presence-absence variants (PAV) are genomic regions present in some individuals of a species, but not others. PAVs have been shown to contribute to genomic diversity, especially in bacteria and plants. These structural variations have been linked to traits and can be used to track a species' evolutionary history. PAVs are usually called by aligning short read sequence data from one or more individuals to a reference genome or pangenome assembly, and then comparing coverage. Regions where reads do not align define absence in that individual, and the regions are classified as PAVs. The method below details how to align sequence reads to a reference and how to use the sequencing-coverage calculator Mosdepth to identify PAVs and construct a PAV table for use in downstream comparative genome analysis.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genoma / Genômica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Methods Mol Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genoma / Genômica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Methods Mol Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Austrália