DREAM 5 – Network Inference Challenge
Learn More The goal of this Network Inference Challenge is to reverse engineer gene regulatory networks from gene expression datasets. Participants are
DREAM 4 – Peptide Recognition Domain (PRD) Specificity Prediction
Learn More Many important protein-protein interactions are mediated by peptide recognition domains (PRD), which bind short linear sequence motifs in other proteins.
DREAM 4 – In Silico Network Challenge
Learn More The goal of the in silico network challenge is to reverse engineer gene regulation networks from simulated steady-state and time-series
DREAM 3 – Signaling Response Prediction
Learn More Approximately 10,000 intracellular measurements (fluorescence signals proportional to the concentrations of phosphorylated proteins) andextracellular measurements (concentrations of cytokines released in
DREAM 4 – Predictive Signaling Network Modelling
Learn More This challenge explores the extent to which our current knowledge of signaling pathways, collected from a variety of cell types,
DREAM 3 – Gene Expression Prediction
Read More Gene expression time course data is provided for four different strains of yeast (S. Cerevisiae), after perturbation of the cells.
DREAM 3 – In Silico Network Challenge
Learn More The goal of the in silico challenges is the reverse engineering of gene networks from steady state and time series
DREAM 3 – Signaling Cascade Identification
Learn More The concentration of four intracellular proteins or phospho-proteins (X1, X2, X3 and X4) participating in a signaling cascade were measured
DREAM 2 – Synthetic Five-Gene Network Inference
Learn More A synthetic-biology network consisting of 5 interacting genes was created and transfected to an in-vivo model organism. The challenge consists
DREAM 2 – Genome-Scale Network Inference
Learn More A panel of single-channel microarrays was collected for a particular microorganism, including some already published and some in-print data. The