Introduce to PhenoMeNal
PhenoMeNal – Large Scale Computing for Medical Metabolomics
PhenoMeNal (Phenome and Metabolome aNalysis) is a comprehensive and standardised e-infrastructure that supports the data processing and analysis pipelines for molecular phenotype data generated by metabolomics applications.
Objectives
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To use existing open source community standards, integrate tools, resources and methods for the management, dissemination and computational analysis of very large datasets of human metabolic phenotyping and genomic data into a secure and sustainable e-Infrastructure.
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To operate and consolidate the PhenoMeNal e-infrastructure based on existing internal and external HPC (High-performance computing), cloud, and grid resources, including the EGI and the EGI Federated Cloud, and to extend it to world-wide computational infrastructures. To improve and scale-up tools used within the infrastructure to cope with very large datasets. To establish technology for a water-tight audit trail for the processing of human metabolic phenotyping data from the raw data acquisition all the way to the generation of high-level biomedical insights (such as a medical diagnosis).
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To establish privacy-protection methods that allow working with highly sensitive molecular phenotype data.
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To foster the worldwide adoption of PhenoMeNal through a wide range of outreach, dissemination, networking and training activities.
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To develop a model to ensure sustainability of the PhenoMeNal network.