CAMDA - What is CAMDA?

The increasing relevance of Big Data forms one of the grand challenges in modern life sciences. Analysing large data sets is consequently emerging to be one of the scientific key techniques in the post genomic era. Recently, the growing need for the analysis of massive data has further accelerated by the advent and fast development of high-throughput next-generation sequencing technologies and the necessarily increasing cohort size of biomedical studies. Still the data analysis bottleneck limits the rate with which technological advances in genome-scale experimental platforms can actually provide new medical and biological insights.

CAMDA focuses on the analysis of massive data in the life sciences. It introduces and evaluates new approaches and solutions to the Big Data challenge. The conference presents new techniques in the field of bioinformatics, data analysis, and statistics for the handling and processing of large data sets, the combination of multiple data sources, and effective computational inference.

An essential part of CAMDA is its open-ended data analysis challenge of complex data sets, often featuring novel technological platforms, exceptionally large cohorts, and heterogeneous data sources and types. Academic and industrial researchers worldwide alike are invited to take the CAMDA challenge. Accepted contributions are presented in short talks, and the results of analyses are discussed and compared at the CAMDA conference. Both contestants and other interested researchers are welcome at the meeting. Posters can provide an additional opportunity of presenting and discussing work.

CAMDA has a track record as a well-recognized annual conference going back to the year 2000. It soon received considerable attention from high impact journals like Nature (ref. 1, 2) and was featured in an editorial in Nature Methods in 2008 (ref. 3). Recently called the 'Olympics for Genomics', this allusion indicates the ambitious and wide-ranging nature of the contest. The meeting has regularly been supported by high-profile organizations like the FDA and NIST.

Keynotes by leading researchers in the field provide further focus points for discussion at the meeting, and have recently included talks by Atul Butte and Sandrine Dudoit (Stanford), Mark Gerstein (Yale), Curtis Huttenhower (Harvard), John Quackenbush (Dana Farber Cancer Institute, Boston), Chris Sander (Memorial Sloan Kettering Cancer Center, New York), Eran Segal (Weizmann Institute, Israel), John Storey and Olga Troyanskaya (Princeton), and Terry Speed (Berkeley & WEHI).

Come join us this year, we look forward to your participation!

There are set of dedicated forums associated with this conference:


  1. Johnson, K.F. and Lin, S.M. (2001). Call to work together on microarray data analysis. Nature 411, 885.
  2. Tilstone, C. (2003). Vital Statistics. Nature 424, 610 (link to journal)
  3. Editorial feature (2008). Going for algorithm gold, Nature Methods 5, 659. (link to journal, link to article)

CAMDA publications

This section contains a compendium of links, abstracts, papers, slides, programs, and tools that supplements the papers found in the proceedings.

Links to earlier CAMDA conferences

  • CAMDA 2016, Satellite Meeting of ISMB 2016 in Orlando, U.S.A.
  • CAMDA 2015, Satellite Meeting of ISMB/ECCB 2015 in Dublin, Ireland.
  • CAMDA 2014, Satellite Meeting of ISMB 2014 in Boston, U. S. A.
  • CAMDA 2013, Satellite Meeting of ISMB/ECCB 2013 in Berlin, Germany
  • CAMDA 2012, Satellite Meeting of ISMB 2012 in Longbeach, California, U. S. A.
  • CAMDA 2011, Satellite Meeting of ISMB/ECCB 2011 in Vienna, Austria
  • CAMDA 2009, Northwestern University, Chicago, U. S. A.
  • CAMDA 2008, Boku University Vienna, Austria.
  • CAMDA 2007, CIPF, Valencia, Spain.
  • CAMDA 2006, Duke University, North Carolina, U. S. A.
  • CAMDA 2004, Duke University, North Carolina, U. S. A.
  • CAMDA 2003, Duke University, North Carolina, U. S. A.
  • CAMDA 2002, Duke University, North Carolina, U. S. A.
  • CAMDA 2001, Duke University, North Carolina, U. S. A.
  • CAMDA 2000, Duke University, North Carolina, U. S. A.

Atul Butte, MD, PhD
Atul Butte, MD, PhD
Stanford University School of Medicine

Nikolaus Rajewsky, PhD
Nikolaus Rajewsky, PhD
Max-Delbrück-Center for Molecular Medicine

Terry Speed, PhD
Terry Speed, PhD
The Walter and Eliza Hall Institute of Medical Research

Sandrine Dupoit, PhD
Sandrine Dudoit, PhD
University of California, Berkeley

John Quackenbush, PhD
John Quackenbush, PhD
Harvard School of Public Health

Eran Segal, PhD
Eran Segal, PhD
Weizmann Institute of Science

John Storey, PhD
John Storey, PhD
Princeton University

Chris Sander, PhD
Chris Sander, PhD
Memorial Sloan Kettering Cancer Center

Temple F. Smith, PhD
Temple F. Smith, PhD
Boston University

Curtis Huttenhower, PhD
Curtis Huttenhower, PhD
Harvard School of Public Health

Christopher E. Mason, PhD
Christopher E. Mason, PhD
Weill Cornell Medicine

Mick Watson, PhD
Mick Watson, PhD
The Roslin Institute

Extended Abstract Proposals Due19 May 2017
Notification of Accepted Contributions26 May 2017
Early Registration Closes15 Jun 2017
CAMDA2017 Conference22-23 Jul 2017
ISMB/ECCB 2017 Conference21–25 Jul 2017
Full Paper Submission Click to save the dates!24 Sep 2017

Agilent Technologies


Biology Direct