Your browser doesn't support javascript.
loading
Sequencing pools of individuals - mining genome-wide polymorphism data without big funding.
Schlötterer, Christian; Tobler, Raymond; Kofler, Robert; Nolte, Viola.
Afiliação
  • Schlötterer C; Institut für Populationsgenetik, Vetmeduni Vienna, Veterinärplatz 1, 1210 Vienna, Austria.
  • Tobler R; 1] Institut für Populationsgenetik, Vetmeduni Vienna, Veterinärplatz 1, 1210 Vienna, Austria. [2] Vienna Graduate School of Population Genetics.
  • Kofler R; Institut für Populationsgenetik, Vetmeduni Vienna, Veterinärplatz 1, 1210 Vienna, Austria.
  • Nolte V; Institut für Populationsgenetik, Vetmeduni Vienna, Veterinärplatz 1, 1210 Vienna, Austria.
Nat Rev Genet ; 15(11): 749-63, 2014 Nov.
Article em En | MEDLINE | ID: mdl-25246196
ABSTRACT
The analysis of polymorphism data is becoming increasingly important as a complementary tool to classical genetic analyses. Nevertheless, despite plunging sequencing costs, genomic sequencing of individuals at the population scale is still restricted to a few model species. Whole-genome sequencing of pools of individuals (Pool-seq) provides a cost-effective alternative to sequencing individuals separately. With the availability of custom-tailored software tools, Pool-seq is being increasingly used for population genomic research on both model and non-model organisms. In this Review, we not only demonstrate the breadth of questions that are being addressed by Pool-seq but also discuss its limitations and provide guidelines for users.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Polimorfismo Genético / Genoma Humano / Metagenômica / Sequenciamento de Nucleotídeos em Larga Escala Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Polimorfismo Genético / Genoma Humano / Metagenômica / Sequenciamento de Nucleotídeos em Larga Escala Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article