Article
Enhancing Knowledge Discovery from Cancer Genomics Data with Galaxy
2016-11-26
Abstract excerpt
We present a collection of Galaxy tools representing many popular algorithms for detecting somatic genetic alterations from cancer genome and exome data. We implemented methods for parallelization of these tools within Galaxy to accelerate runtime and have demonstrated their usability on cloud-based infrastructure and commodity hardware. Some tools represents extensions or refinement of existing toolkits to yield...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- 17f2b524-0e2a-567c-8a5b-c6ca3bcedf7c
- DOI
- 10.1101/089631