Proteogenomics, integration of proteomics, genomics, and transcriptomics, is an emerging approach that promises to advance basic, translational and clinical research. By combining genomic and proteomic information, leading scientists are gaining new insights due to a more complete and unified understanding of complex biological processes.
Advanced bioinformatics approaches are needed to entirely use the complete information spectra acquired in genomics, transcriptomics and proteomics studies. A DREAM Challenge offers a chance to crowdsource the analysis of numerous rich data sets at once (one of the largest public repositories of proteogenomic sequence data) and thereby compare aspects of various methods to better understand biological features that drive early cancer progression.
To this regard, the National Cancer Institute’s Clinical Proteomic Tumor Analysis Consortium (CPTAC) program, in partnership with DREAM Challenges, announce the NCI-CPTAC DREAM Proteogenomics Challenge (estimated launch date is mid-June). The aim of the challenge is to encourage the generation of computational methods for extracting information from the cancer proteome and for linking those data to genomic and transcriptomic information. The goal is to predict proteomic and phosphoproteomic data from multiple other data types. Method performance will be blindly evaluated using a previously unseen validation dataset generated by CPTAC.
DREAM Challenge will be run in the Google Cloud, and provide a prize award sponsored by the NVIDIA Foundation. Nature Methods also supports the submission of an overview paper of the Challenge, contingent on a standard evaluation process.
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Please visit the DREAM website for further details on DREAM challenges, including history, previous challenges and FAQs.