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 2017:
* The MetaSUB Challenge presents the urban microbiomes of three cities. Compare organism fingerprints from public places across cities. Investigate organism sequences and biodiversity vs location.
* The Neuroblastoma Data Integration Challenge presents clinical data, RNA-seq and Agilent gene expression, and CNV/SNP info from aCGH. Improve the prediction of clinical outcome, survival time, or disease mechanisms vs the original expression-only study by the FDA SEQC.
* The Oxford Nanopore ‘Wiggle Space’ Challenge presents raw data from one of the latest next-next-generation sequencing platforms. Calibrate reads vs matched results from established platforms. Test your interpretation of metagenomics analyses on a 'mystery' sample of patient microbiota.
Join us for a stimulating scientific meeting and lively discussions in Prague 22-23 July 2017!
Follow us on twitter @CAMDA_conf
See you in Prague!
For the organizing committee,
Joaquin Dopazo, Valencia, Spain
David Kreil, Vienna, Austria
Paweł Łabaj, Vienna, Austria
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 2017:
* The MetaSUB Challenge presents the urban microbiomes of three cities. Compare organism fingerprints from public places across cities. Investigate organism sequences and biodiversity vs location.
* The Neuroblastoma Data Integration Challenge presents clinical data, RNA-seq and Agilent gene expression, and CNV/SNP info from aCGH. Improve the prediction of clinical outcome, survival time, or disease mechanisms vs the original expression-only study by the FDA SEQC.
* The Oxford Nanopore ‘Wiggle Space’ Challenge presents raw data from one of the latest next-next-generation sequencing platforms. Calibrate reads vs matched results from established platforms. Test your interpretation of metagenomics analyses on a 'mystery' sample of patient microbiota.
Join us for a stimulating scientific meeting and lively discussions in Prague 22-23 July 2017!
Follow us on twitter @CAMDA_conf
See you in Prague!
For the organizing committee,
Joaquin Dopazo, Valencia, Spain
David Kreil, Vienna, Austria
Paweł Łabaj, Vienna, Austria
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).
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