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CAMDA2020 @ ISMB, 13-14.07 Montreal, Canada
Dear Colleagues,
The Call for Contributions to CAMDA is now open!
CAMDA is a full conference track at ISMB (www.camda.info).
Researchers world-wide take the CAMDA Challenge (contest.camda.info) - compete with the best in an open-ended data analysis contest!
Your choice of challenges 2020:
* The Hi-Res Cancer Data Integration Challenge presents clinical and matched molecular profiles, with read level data for individual genomes. Explore non-standard genomes and splicing events for better prognosis.
* The CMap Drug Safety Challenge presents clinical toxicity results, cellular and molecular responses to hundreds of drugs. Compare and integrate a range of cell line assays to predict the severity of the drug induced liver injury in humans.
* The Metagenomic Geolocation Challenge presents thousands of city microbiome profiles in the context of climate data. Construct multi-source microbiome fingerprints and predict the ecological niche or exact geographical origin of mystery samples.
Join us for a stimulating scientific meeting and lively discussions in Montreal 13-14 July 2020!
Follow us on twitter @CAMDA_conf
See you in Montreal!
For the organizing committee,
Joaquin Dopazo, Seville, Spain
Diane Kovats, U.S.A.
David Kreil, Vienna, Austria
Paweł Łabaj, Kraków, Poland
Weida Tong, Little Rock, U.S.A.
Wenzhong Xiao, Stanford/Boston, U.S.A.
Background:
CAMDA was founded in 2000 (Nature 411, 885. Nature 424, 610) to provide a forum for the critical assessment of different techniques used in large-scale data analysis in the life-sciences, including but not limited to high-dimensional gene expression profiling. It aims to establish the state-of-the-art in analysis methods for Big Data in the Life Sciences, as well as identify progress and highlight promising directions for future efforts. To this end, CAMDA adopted the approach of a community-wide contest, with the scientific community analysing the same data sets. Researchers worldwide are invited to take the CAMDA challenge, which has become a prominent fixture (cf. Nature Methods 5, 569).
Selected contributions are presented though talks and posters. Results and methods of the different analyses are discussed and compared at the conference, with delegates voting for the best presentations. Extended papers are published in a special issue of Biology Direct (fully indexed and open access). Methods papers are eligible for the regular ISMB proceedings track in Bioinformatics.
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).
The Call for Contributions to CAMDA is now open!
CAMDA is a full conference track at ISMB (www.camda.info).
Researchers world-wide take the CAMDA Challenge (contest.camda.info) - compete with the best in an open-ended data analysis contest!
Your choice of challenges 2020:
* The Hi-Res Cancer Data Integration Challenge presents clinical and matched molecular profiles, with read level data for individual genomes. Explore non-standard genomes and splicing events for better prognosis.
* The CMap Drug Safety Challenge presents clinical toxicity results, cellular and molecular responses to hundreds of drugs. Compare and integrate a range of cell line assays to predict the severity of the drug induced liver injury in humans.
* The Metagenomic Geolocation Challenge presents thousands of city microbiome profiles in the context of climate data. Construct multi-source microbiome fingerprints and predict the ecological niche or exact geographical origin of mystery samples.
Join us for a stimulating scientific meeting and lively discussions in Montreal 13-14 July 2020!
Follow us on twitter @CAMDA_conf
See you in Montreal!
For the organizing committee,
Joaquin Dopazo, Seville, Spain
Diane Kovats, U.S.A.
David Kreil, Vienna, Austria
Paweł Łabaj, Kraków, Poland
Weida Tong, Little Rock, U.S.A.
Wenzhong Xiao, Stanford/Boston, U.S.A.
Background:
CAMDA was founded in 2000 (Nature 411, 885. Nature 424, 610) to provide a forum for the critical assessment of different techniques used in large-scale data analysis in the life-sciences, including but not limited to high-dimensional gene expression profiling. It aims to establish the state-of-the-art in analysis methods for Big Data in the Life Sciences, as well as identify progress and highlight promising directions for future efforts. To this end, CAMDA adopted the approach of a community-wide contest, with the scientific community analysing the same data sets. Researchers worldwide are invited to take the CAMDA challenge, which has become a prominent fixture (cf. Nature Methods 5, 569).
Selected contributions are presented though talks and posters. Results and methods of the different analyses are discussed and compared at the conference, with delegates voting for the best presentations. Extended papers are published in a special issue of Biology Direct (fully indexed and open access). Methods papers are eligible for the regular ISMB proceedings track in Bioinformatics.
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).