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ClinVAP: a reporting strategy from variants to therapeutic options
Author(s) -
Bilge Sürün,
Charlotta Schärfe,
Mathew R. Divine,
Julian Heinrich,
Nora C. Toussaint,
Lukas Zimmermann,
Janina Beha,
Oliver Kohlbacher
Publication year - 2019
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btz924
Subject(s) - computer science , pipeline (software) , scalability , json , annotation , interoperability , personalized medicine , data mining , computational biology , data science , bioinformatics , artificial intelligence , database , world wide web , programming language , biology
Next-generation sequencing has become routine in oncology and opens up new avenues of therapies, particularly in personalized oncology setting. An increasing number of cases also implies a need for a more robust, automated and reproducible processing of long lists of variants for cancer diagnosis and therapy. While solutions for the large-scale analysis of somatic variants have been implemented, existing solutions often have issues with reproducibility, scalability and interoperability.

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