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During the “Challenge season” spanning from June to September 2013, Sage Bionetworks and DREAM plan to run the three Challenges described below. The Challenges' top performing teams will be provided with travel grants and an invitation to present their results at the annual DREAM conference taking place Nov Best performers in the DREAM8 Challenges will be invited to present at the DREAM conference (November 8-12, 2013 in Toronto, Canada) with travel expenses covered by the Sage/DREAM organizers. Sage Bionetworks and DREAM are also working with high impact journals to ensure that the methodology developed by the Challenges' best performers will be considered for publication under the Challenge-assisted Peer Review format.
If you want to sign up for one of these Challenges, please click on "Read More" next to its description below.
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NIEHS-NCATS-UNC DREAM Toxicogenetics Challenge
The goal of the NIEHS-NCATS-UNC DREAM Toxicogenetics Challenge
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is
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For every chemical that has been tested for toxicity, there are myriad others that still remain untested. Thus the best models resulting from the NIEHS-NCATS-UNC DREAM Toxicogenetics Challenge that can accurately predict either what groups of individuals will be most sensitive to chemicals or the range of toxicity for different types of chemicals, will provide powerful new tools for EPA and other government agencies to do more targeted experimentation based on computational predictions.
to use crowd-sourcing to increase our understanding of the inter-individual variation in compound-induced cytotoxicity across a genetically diverse cohort of individuals.
To that end, the DREAM consortium will leverage the genetics and transcriptomics information of the 1000 genomes project (1000genomes.org), as well as cytotoxicity measures derived from compound exposure to over a hundred toxic agents using the 1000 genomes lymphoblastoid cell lines. Challenge Participants are tasked with solving two related subchallenges: (1) developing predictive models of cytotoxicity using genetic and genomic data to predict individual responses to compound exposure and (2) using chemical attributes to predict population-based cytotoxicity characteristics (median, variance) for unknown compounds.
Best performers will be invited to present at the DREAM conference with travel expenses covered by the Sage/DREAM organizers. We are working with high impact journals to ensure that the methodology developed by the best performer will be considered for publication under the challenge-assisted peer review format.
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The Whole-Cell Parameter Estimation DREAM Challenge
The
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goal of the Whole Cell Parameter Estimation Challenge is to use crowd-sourcing to determine the ability of the computational systems biology community to infer the kinetic parameters underlying biological processes
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The challenge consists of predicting a subset of the kinetic parameters used in
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a recently published whole-cell model of Mycoplasma genitalium. Participants are tasked with estimating the model parameters from simulated data (representing possible measurements in actual experiments) purchased on demand and chosen with the aim to refine the parameters under estimation.
DREAM-DEMO-J
DREAM8 Press Releases
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