Evaluating the performance of tools used to call minority variants from whole genome short-read data.

Said Mohammed, Khadija; Kibinge, Nelson; Prins, Pjotr; Agoti, Charles N; Cotten, Matthew; Nokes, D J; Brand, Samuel; Githinji, George

Said Mohammed, Khadija; Kibinge, Nelson; Prins, Pjotr; Agoti, Charles N; Cotten, Matthew; Nokes, D J; Brand, Samuel; Githinji, George.

Afiliação

Said Mohammed K; Pwani University, Kilifi, Kenya.
Kibinge N; KEMRI-Wellcome Trust Research Programme, KEMRI Centre for Geographic Medicine Research - Coast, Kilifi, Kenya.
Prins P; KEMRI-Wellcome Trust Research Programme, KEMRI Centre for Geographic Medicine Research - Coast, Kilifi, Kenya.
Agoti CN; KEMRI-Wellcome Trust Research Programme, KEMRI Centre for Geographic Medicine Research - Coast, Kilifi, Kenya.
Cotten M; University Medical Center Utrecht, Utrecht, The Netherlands.
Nokes DJ; Pwani University, Kilifi, Kenya.
Brand S; KEMRI-Wellcome Trust Research Programme, KEMRI Centre for Geographic Medicine Research - Coast, Kilifi, Kenya.
Githinji G; Virosciences Department, Erasmus Medical Centre, Rotterdam, The Netherlands.

Wellcome Open Res ; 3: 21, 2018.

Article em En | MEDLINE | ID: mdl-30483597

Palavras-chave

RSV; concordance; minority variants; performance; variant calling

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Wellcome Open Res Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Quênia País de publicação: Reino Unido

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google