OpEx - a validated, automated pipeline optimised for clinical exome sequence analysis.

Ruark, Elise; Münz, Márton; Clarke, Matthew; Renwick, Anthony; Ramsay, Emma; Elliott, Anna; Seal, Sheila; Lunter, Gerton; Rahman, Nazneen

Ruark, Elise; Münz, Márton; Clarke, Matthew; Renwick, Anthony; Ramsay, Emma; Elliott, Anna; Seal, Sheila; Lunter, Gerton; Rahman, Nazneen.

Afiliação

Ruark E; The Institute of Cancer Research, London, Division of Genetics &Epidemiology, Sutton SM2 5NG, UK.
Münz M; Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7BN, UK.
Clarke M; The Institute of Cancer Research, London, Division of Genetics &Epidemiology, Sutton SM2 5NG, UK.
Renwick A; The Institute of Cancer Research, London, Division of Genetics &Epidemiology, Sutton SM2 5NG, UK.
Ramsay E; The Institute of Cancer Research, London, Division of Genetics &Epidemiology, Sutton SM2 5NG, UK.
Elliott A; The Institute of Cancer Research, London, Division of Genetics &Epidemiology, Sutton SM2 5NG, UK.
Seal S; The Institute of Cancer Research, London, Division of Genetics &Epidemiology, Sutton SM2 5NG, UK.
Lunter G; Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7BN, UK.
Rahman N; The Institute of Cancer Research, London, Division of Genetics &Epidemiology, Sutton SM2 5NG, UK.

Sci Rep ; 6: 31029, 2016 08 03.

Article em En | MEDLINE | ID: mdl-27485037

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Sci Rep Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Reino Unido

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