Mission Statement
- Design and execution of four global challenges to benchmark algorithms for:
- RNA-Seq data-analysis
- Detection of intra-tumoural heterogeneity
- Compression and anonymization of genome-sequencing data
- Somatic Mutation Calling in cancer
- Generation of gold-standard datasets for algorithm evaluation
- Development of new techniques for analyzing and integrating multiple algorithms
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Management Team
- Paul Boutros, Principal Investigator
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Collaborators
- Gustavo Stolovitzky, Collaborator
Outcomes
By indicating which specific algorithms and classes thereof have performed best, this work will give guidance as to the most promising directions for future researchers. While journals are supportive of large-scale benchmarking activities, there remains a paucity of published results in this area. This core will benefit the entire genomics community with objective and timely assessments of the best algorithms in four central problem areas. It will create a template upon which similar cloud based algorithmic benchmarking challenges can be designed.
Latest Publications & Presentations
Benchmarking & Biomarkers: Barriers to Bringing Molecular Discoveries to Clinic
Date: September 2015
University of Waterloo; Waterloo, Canada
Cancer Sequencing Quality & The ICGC-TCGA DREAM Somatic Mutation Calling Challenge
Date: July 2015
The 23rd International Conference on Intelligent Systems for Molecular Biology (ISMB); Dublin, Ireland
Nature methods, 2015;12(7):623-30
