CAMDA 2013 Challenge: Big Data in Life Sciences
http://www.camda.info


The CAMDA conference contains a competitive challenge on Big Data in life sciences. Extracting usable knowledge from Big Data is an extremely pressing topic which requires advanced data mining, machine learning, statistical, and data management techniques.

The challenge includes the analysis of large toxicogenomic and genetic data obtained by Next Generation Sequencing (NGS). Relevant tasks for the toxicogenomics data include, but are not limited to, feature selection, classification, regression, and clustering. Relevant tasks for the NGS data set, include, but are not limited to, variant detection, identical by descent detection, structural variants detection, and population genetics.
To facilitate the data handling, we provide the data set in several formats:
- CSV (toxicogenomics)
- LIBSVM (toxicogenomics)
- VCF (NGS data) 
- EXCEL Sheet (annotation data and labels)
which are ready to use e.g., for binary classification. 
The raw data is provided as
- CEL files (Affymetrix microarray measurements)
- BAM files (NGS data)

IMPORTANT DATES

- Abstract submission deadline for oral presentation / 20 May 2013
- Abstract submission deadline for poster presentation / 25 May 2013
- CAMDA Conference / 19–20 July 2013

You find additional information about the challenge data sets, submissions, etc. at the conference website: http://www.camda.info


We look forward to a lively contest!

The organizers and chairs of CAMDA 2013

Chairs:
Joaquin Dopazo, CIPF, Spain
Sepp Hochreiter, Johannes Kepler University, Austria
David Kreil, Boku University, Austria
Simon Lin, Marshfield Clinic, U.S.A.

Local organizer:
Djork-Arné Clevert, Johannes Kepler University, Austria

Contact: camda@bioinf.jku.at
Conference website: http://www.camda.info


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