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Modern life science is generating large data sets at a unprecedented speed. A major source of data are so-called omics (e.g., genomics, metabolomics, or proteomics) experiments. Consequently, management and analysis of scientific data has become a major challenge. Further, the heterogeneity of projects makes “one size fits all” data analysis systems infeasible and calls for specialized data analysis platforms.

SODAR Core: a Django-based framework for scientific data management and analysis web apps