High-Throughput Architecture for Discovering Combination Cancer Therapeutics.

ABSTRACT:

Purpose

The amount of available next-generation sequencing data of tumors, in combination with relevant molecular and clinical data, has significantly increased in the last decade and transformed translational cancer research. Even with the progress made through data-sharing initiatives, there is a clear unmet need for easily accessible analyses tools. These include capabilities to efficiently process large sequencing database projects to present them in a straightforward and accurate way. Another urgent challenge in cancer research is to identify more effective combination therapies.

Methods

We have created a software architecture that allows the user to integrate and analyze large-scale sequencing, clinical, and other datasets for efficient prediction of potential combinat

SUBMITTER: Gianni M 

PROVIDER: S-EPMC6873994 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature