One tool to find them all: A case of data integration and querying in a distributed LIMS platform

In this early 2019 journal article published in the journal Database, Grand et al. of the Candiolo Cancer Institute present the fine details of their laboratory information management system (LIMS) Laboratory Assistant Suite (LAS) for cancer and other genomic research. Citing “a substantial mismatch between the LIMS solutions on offer and the functional requirements dictated by research practice,” the authors describe the requirements they had for a LIMS in their institution and how they went about creating it. After describing the data models, functionalities, modular architecture, and its usage, the authors conclude that their LAS, in conjunction with a custom data management module, allows researchers to “execute complex queries without any knowledge of query languages or database structures, and easily integrate heterogeneous data stored in multiple databases,” while also resulting in an improvement in data quality, a reduction in data entry and retrieval, and new insights with the enabled data interconnections.

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