DREAM 7- Network Topology and Parameter Inference Challenge
Learn More Much of the recent focus on reverse engineering of gene networks has been on the identification of causal interaction topologies
DREAM 5 – Systems Genetics Challenge
Learn More The central goal of systems biology is to gain a predictive, system-level understanding of biological networks. This can be done,
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 – 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 – 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
DREAM 2 – Protein-Protein Interaction Network Inference
Learn More For many pairs of bait and prey genes, yeast protein-protein interactions were tested in an unbiased fashion using a high
DREAM 2 – In Silico Network Inference
Learn More Three in-silico networks were created and endowed with a dynamics that simulate biological interactions. The challenge consists of predicting the