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The main aim of the MelanoBase project is a large-scale automatic extraction of actionable information from the biomedical literature and its integration with existing structured knowledge (life science databases). The innovative outcome of this strategy is to provide users (basic and clinical researchers) with formats that can be more easily queried, and automatically processed, with the purpose of increasing the efficiency of biology research. The specific use-case scenario of melanoma disease has been selected for the histopathological complexity of these lesions, and to provide solutions for the unmet need of separating true drivers of this disease from a myriad of (epi)genetic inconsequential byproducts accumulated during melanoma genesis. The project will pursue a literature-wide and disease-centric approach which sets it apart from comparable projects worldwide. Moreover, close collaborations with experts in the field will streamline validation efforts in clinically-relevant specimens.
The results of the MelanoBase project will be integrated within the Melanoma Molecular Map repository and experimentally relevant information will be validated by well-known experts in the field.
Project head:
Researcher:
Main collaborations:
Dr. Raul Rodriguez-Esteban, Roche, Switzerland
Dr. María S. Soengas, CNIO, Spain
Dr. Simone Mocellin, University of Padova, Italy
The project is funded by the Swiss National Science Foundation (SNF) and runs 2016–2019.