MaSyMoS: Finding Hidden Treasures in Model Repositories
نویسندگان
چکیده
Ensuring reproducibility of simulation studies in computational biology poses a challenge to data management solutions. One specific problem is the organisation and linking of all files related to a simulation study at the storage level. Such a study comprises of a number of files, and additional links to third party resources. MaSyMoS is a graph-based approach to representing the links between the files necessary to reproduce a simulation study. It is based on a Neo4J database and designed specifically to handle files in COMBINE standard formats. Availability: https://sems.uni-rostock.de/projects/masymos/
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تاریخ انتشار 2014