Development of DICED was guided mainly by FAIR (Findable, Accessible, Interoperable, Reusable) principles for research data management. Another motivation was the ease of searching across multiple degradome datasets, not presently possible otherwise. Data from proteomics and degradomics analysis is traditionally deposited in ProteomeXchange, but analysis of the downloaded datasets requires expertise in proteomics data handling and is labor and time intensive. DICED makes it easy to access our degradomics data with a simple search interface using one of three search terms.
DICED was built upon the Django framework and uses a PostgreSQL database for data management.
Whereas DICED is currently limited in its data holdings to datasets produced by the Apte Laboratory at Cleveland Clinic , it is a potential model for a future publicly maintained data access interface and repository for all curated, published degradome data.
Organisms: The inclusion of datasets from non-human mammals embraces the One-Medicine concept, which is that human and veterinary medicine are interdependent and should therefore be used together to advance both human and animal health. At the present time, the databases that can be searched will include the human, bovine and equine species.
DICED is a collaborative venture between independent groups at the Cleveland Clinic. Sumit Bhutada, Daniel Martin and Suneel Apte are members of a laboratory investigating proteases and proteolysis. Jayadev Joshi and Daniel Blankenberg are bioinformaticians and Joyce Guzowski is a web content manager.
Research Associate
Center for Computational Life Sciences
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Jay is a bioinformatician working at the Center for Computational Life Sciences as a Research Associate, specializing in software and algorithm development for computational chemistry, drug discovery, and multi-omics data analysis.
Research Associate
Biomedical Engineering
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Sumit is an expert in proteomics and degradomics workflows, working as a Research Associate in Biomedical Engineering, with a career interest in defining the roles of proteases in the progression of arthritis.
Research Associate
Biomedical Engineering
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Daniel is a molecular biologist working as a Research Associate in Biomedical Engineering, specializing in mass spectrometry-based proteomics, including degradomics, with a career interest in cardiovascular disease.
Associate Staff
Biomedical Engineering
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Daniel is a computational biologist working as an Associate Staff member at the Center for Computational Life Sciences. The goal of the Blankenberg Lab is to develop robust and accessible computational tools needed to analyze complex biomedical datasets.
Staff
Biomedical Engineering
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Suneel is a former clinician trained in genetics, molecular biology, and biochemistry, working as a Staff member in Biomedical Engineering. He has a career interest in proteases and the extracellular matrix in morphogenesis and human disease.
Web Content Manager
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Joyce is a web content expert working as a Web Content Manager at the Lerner Research Institute, where she implements content strategies for websites of all sizes.