GDSCTools for mining pharmacogenomic interactions in cancer-Reference-Cited by-同舟云学术

GDSCTools for mining pharmacogenomic interactions in cancer

Published:2017-11-24 Issue:7 Volume:34 Page:1226-1228
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Cokelaer Thomas¹,Chen Elisabeth²,Iorio Francesco³,Menden Michael P⁴,Lightfoot Howard²,Saez-Rodriguez Julio³⁵,Garnett Mathew J²

Affiliation:

1. Institut Pasteur—Bioinformatics and Biostatistics Hub—C3BI, USR IP CNRS, Paris, France

2. Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK

3. European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Cambridge, UK

4. Oncology Innovative Medicines and Early Development, AstraZeneca, Cambridge, UK

5. RWTH Aachen University, Joint Research Centre for Computational Biomedicine, Aachen, Germany

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/7/1226/25119562/btx744.pdf

Reference9 articles.

1. The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity;Barretina;Nature,2012

2. BioServices: a common Python package to access biological Web Services programmatically;Cokelaer;Bioinformatics,2013

3. Systematic identification of genomic markers of drug sensitivity in cancer cells;Garnett;Nature,2012

4. A landscape of pharmacogenomic interactions in cancer;Iorio;Cell,2016

5. Snakemake–a scalable bioinformatics workflow engine;Köster;Bioinformatics,2012

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