The DREAM Project/DREAM2 Data
(Redirected from The DREAM Project/Data)
Data for Reverse Engineering
One of the main thrusts of DREAM is to make available data to contribute to the Reverse Engineering efforts. There is no censensus as to what the best data modality is to infer cellular pathways from high throughput data. Therefore we expect that the novel uses of old data such as gene expression, as well as the use of newer data such as ChIP-chip, or phosphoproteomics, will be good drivers to the field. The objective of this site is to provide links to other sites with available datased aimed at reverse engineering cellular networks, as well as to provide data that came for our own DREAM challenges. As usual, you can add you comments and suggestions in the DREAM Discussion Forum
Data and Gold Standards from the DREAM2 Conference network inference challenges
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Datasets of Challenges 1 and 3 cannot be used for external publication without explicit permission from the data owners. For the other datasets, please refer to the original data providers and the DREAM project in your publication. |
Step 1. Register your team to download the data.
Once you have registered to receive the data, a password will be sent to the e-mail address you provided in the registration.
Step 2. Download the datasets. You will need to use the password provided in Step 1 above.
- Challenge 1: BCL6-Targets Challenges. Data Description. Data Download. Gold-standard Download.
- Challenge 2: The Protein-Protein Subnetwork Challenge. Data Description. Data download. Gold-standard Download.
- Challenge 3: The Five-Gene-Network Challenges. Data Description.Data Download. Gold-standard Download.
- Challenge 4: The In-Silico-Network Challenges. Data Description. Data Download. Gold-standard Download.
- Challenge 5: The Genome-Scale Network Challenge. Data Description. Data download. Gold-standard Download.
Test your predictions for the DREAM2 Conference network inference challenges
As the Gold Standard for Challenge 1 (the BCL6 target challenge) has not yet been released, we created at web tool to facilitate the testing of the predictions for Challenge 1. However, to avoid the releasing the whole set of targets before the data owners could publish their data, we are only allowed to provide results for 5 predictions per team. (Better than nothing...)
You can use a web tool to easily test your predictions for Challenges 3, 4 and/or 5. (Courtesy of Alberto De la Fuente and his team at the CRS4 Bioinformatics Research & Development Lab. )
