CAMDA, an interdisciplinary conference dedicated to the Critical Assessment of Massive Data Analysis is soliciting contributions for its 12th meeting on 19–20 July 2013 at the ISBM ECCB. Over the past decade, CAMDA has been a forum for academic researchers and industry practitioners to share their research and experience in the analysis of genome-wide data, such as gene transcript or protein expression profiles. Many novel algorithms have been introduced first at CAMDA.

Analyses performed on data other than the challenge datasets can be considered for oral presentation if they report considerable break-through research or developments.

Challenge Dataset

We propose a contest in two challenge data sets: 1) the decoding of drug compatibility from an extremely large toxicology data set, and 2) the decoding of personal genomes.

Please see the contest dataset page for more information.

Any Dataset

Analyses can also be based on other datasets, generated by the presenting lab or by another group, although in all cases the dataset must be made publicly available (raw measurements and derived data) if the paper is selected for presentation. Novel approaches to analysis are encouraged. Different types of data can be considered although they should include some form of gene expression measurements (no pure sequence analyses, please). A biologically meaningful interpretation of the data is considered of critical importance. Only break-through results can be considered for oral presentation.

Submission Rules

• All abstracts submitted to CAMDA must be previously unpublished original work.
• You will be required to sign a copyright release for the final paper for publication in the conference proceedings. If we are unable to obtain a publisher or if your paper is not deemed to be of sufficient quality by the editors, your copyright will be returned to you to use for your own publication purposes.
• While you can present your work at other conferences at any time, no journal publication of your results is allowed prior to the CAMDA conference.
• Authors are encouraged to reference the proceedings of earlier years regarding the format and style of contributions.
• Researchers must agree to make the analytical results and procedures publicly available. Analytical or executable code must be made available and can be released commercially or freely. The publication of source code is strongly encouraged.

Paper Submission Format

An extended abstract is necessary for the selection process by the scientific committee. This should include key results, figures, and tables. For original research papers the length of the extended abstract is limited to five pages (at 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.

All papers should be submitted electronically as PDF, Microsoft Word, or OpenOffice files online: easychair/CAMDA2013. The deadline for submission is 20 May 2013.

All authors will have an opportunity to update and revise their manuscripts after the conference. Final papers to be published in the CAMDA 2013 proceedings will be due 25 August 2013. We will prepare a fast-track journal publication of a selection of contributions (special edition of a journal TBA). The publication of final papers is entirely at the discretion of the editors based on the quality of submission.

Presentation Format

Accepted papers will be invited for oral and/or presentation in the CAMDA 2013 conference. The authors will be notified by 30 May 2013.

• Oral presentation: The time allocated for each presentation will be 30 minutes followed by 10 minutes of questions and answers. This time limit may change based on the number of submissions.
• Poster presentation: The maximum size of the poster is 46 inches (wide) x 45 inches (height)

CAMDA Paper Presentation Guidelines

Feedback of previous CAMDA attendees indicates a need for the emphasis of biological relevance in addition to the data mining methodology. The submitted contributions are encouraged to include:

• The proposed analytical objective (problems to be solved).
• A brief summary of the analytical effort (how to solve the problems).
  This includes procedures for data extraction, preprocessing tasks such as normalization, as well as the data mining steps and algorithms used. Last but not least, the criteria for evaluating results must be clearly described.
• Interpretation of results and presentation of discoveries in a biological context.
• Discussion of the merits, assumptions, and limitations of your approach.
• Conclusions

Questions concerning the CAMDA 2013 Call for Papers should be directed to: camda2013@easychair.org.