Critical Assessment of Massive Data Analysis (CAMDA2013)
An ISMB/ECCB Satellite Meeting, July 19-20, 2013
http://www.camda.info


CAMDA focuses on innovative methods to analyze massive data sets from life sciences. Over two days, researchers from bioinformatics, computer sciences, statistics, genetics, molecular biology, and other fields present novel approaches to analyze Big Data. Extracting usable knowledge from Big Data is an extremely pressing topic which requires advanced data mining, machine learning, statistical, and data management techniques that are presented at CAMDA.

An essential part of CAMDA is its competitive challenge on big heterogeneous data sets. Academic and industrial researchers worldwide are invited to take the CAMDA challenge, to show their expertise analyzing Big Data. The challenge includes the analysis of a 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. To facilitate the data handling, we provide the data set in several formats e.g., CSV and LIBSVM, which are ready to use e.g., for binary classification. 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. We provide preprocessed NGS data in VCF format, even merged with data from other populations.

The conference consists of keynotes, oral presentations, and a poster session where participants can present their work. As in last years, the prestigious CAMDA prize will be awarded for the best presentation. The contest presentations are complemented by high profile keynotes from:

 - Atul Butte, Stanford University School of Medicine, CA, USA
 - Nikolaus Rajewsky, Max-Delbrück-Center for Molecular Medicine, Berlin, Germany
 - Jun Wang, Beijing Genomics Institute (BGI), Shenzhen, China


SUBMISSION INFORMATION

We solicit submissions, which should include key results, figures, and tables. For original research papers the length of the extended abstract is limited to five pages (12pt Times Roman). Longer submissions cannot be considered. Abstracts must include the title, authors, affiliations, and contact email addresses. The name of the presenting author should be underlined. Abstracts should be submitted electronically as PDF or Microsoft Word online at:

https://www.easychair.org/conferences/?conf=camda2013

All accepted abstracts will be published in the conference abstract book. Submission selected for oral presentation will be peer-reviewed and published as full text manuscripts in the CAMDA Proceedings as an open access PubMed indexed special issue of Systems Biomedicine (ISSN:2162-8130).


IMPORTANT DATES

- Abstract submission deadline for oral presentation / 20 May 2013
- Abstract submission deadline for poster presentation / 25 May 2013
- Notification of accepted contributions / 30 May 2013
- Early registration closes / 1 June 2013
- CAMDA Conference / 19–20 July 2013
- ISMB/ECCB Conference / 21–23 July 2013
- Full paper submission / 25 August 2013


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


We look forward to seeing you in Berlin!


The organizers and chairs of CAMDA 2013
12th International Conference on Critical Assessment of Massive Data Analysis
Berlin, Germany, July 19-20, 2013

http://www.camda.info
camda@bioinf.jku.at







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