Your browser doesn't support javascript.
loading
Linking Exome Sequencing Data with Drug Response Aberrations.
Kyriakidis, Konstantinos; Charalampidou, Alexandra; Natsiavas, Pantelis; Vizirianakis, Ioannis S; Malousi, Andigoni.
Afiliação
  • Kyriakidis K; Lab. of Biological Chemistry, School of Medicine, Aristotle University of Thessaloniki, Greece.
  • Charalampidou A; Scientific Computing Office, Information Technology Centre, Aristotle University of Thessaloniki, Greece.
  • Natsiavas P; Sorbonne Université, INSERM, Univ Paris 13, Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances pour la e-Santé, LIMICS, F-75006 Paris, France.
  • Vizirianakis IS; Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thermi, Thessaloniki, Greece.
  • Malousi A; Lab. of Pharmacology, School of Pharmacy, Aristotle University of Thessaloniki, Greece.
Stud Health Technol Inform ; 264: 1845-1846, 2019 Aug 21.
Article em En | MEDLINE | ID: mdl-31438372
ABSTRACT
Next-generation sequencing has prompted the development of numerous -omics applications. Along with experimental procedures, various computational pipelines became available to address the inherent complexities concerning the volume and quality of data. These pipelines are effective and routinely applied; however, interpreting their outcomes into actionable evidence is still poorly addressed. In this context, this work proposes a method for translating patient genomic profiles to drug response aberrations by integrating pharmacogenomic data into sequencing data analysis pipelines.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Exoma Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Exoma Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article