CAMDA 2009 Conference ( Conference Brochure )
The ninth international conference for
the Critical Assessment of Massive Data Analysis (CAMDA 2009). To be held:
Keynote Speakers: Mark B Gerstein, Yale University; Martin Morgan, Fred Hutchinson Cancer Research Center
With the advent of next-generation
sequencing technologies, more and more genome-wide assays, which previously
could only be performed cost-effectively by microarrays, now can also been
done by using next-generation sequencing and with better resolution and
sensitivity. However, translating the massive next-generation sequencing
data into meaningful results faces new challenges. CAMDA2009 will offer a
forum for the researchers from computer science, statistics, molecular
biology, and other areas to exchange ideas, and critical evaluation of
various techniques of analyzing next-generation sequencing data.
In order to achieve these goals, CAMDA
adopts the approach of a community-wide experiment, letting the scientific
community analyze the same contest data sets ( a public ChIP-seq dataset ).
Researchers worldwide are invited to take the CAMDA challenge. Accepted
submissions will be asked to give an oral presentation. Results of analysis
are discussed and compared at the CAMDA conference. CAMDA2009 provides a
unique environment for testing and demonstrating your latest analysis
methods in next-generation sequencing.
To have a better overview of next-generation
sequencing technologies, CAMDA2009 will include a review session. Reviews
of recent developments in next-generation sequencing will be presented at
CAMDA, which began in 2000, was
initiated by Simon Lin and Kimberly Johnson from the Duke University
Bioinformatics Shared Resource. This year, CAMDA2009 is hosted by
Your participation is critical for
making this year's CAMDA meeting again a great event.
Top Three Presentations of CAMDA 2009
Winner of “CAMDA 2009 Best
Guohua Wang, Yadong Wang, Denan Zhang,
Lang Li, Yunlong Liu*, “STAT1 regulates microRNA transcription in
interferon γ – stimulated HeLa cells”
Yanen Li* and Sheng Zhong,
“SeqMapReduce: software and web service for accelerating sequence mapping”
Jean-Francois Pessiot*, Hirokazu
Chiba, Hiroto Hyakkoku, Takeaki Taniguchi, Wataru Fujibuchi, “PeakRegressor
identifies composite sequence motifs responsible for STAT1 binding sites
and their potential rSNPs”
Note: * Person who made the presentation.