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Oxford University Press (OUP), Bioinformatics, 20(29), p. 2661-2663

DOI: 10.1093/bioinformatics/btt437

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CellMissy: a tool for management, storage and analysis of cell migration data produced in wound healing-like assays

Journal article published in 2013 by Paola Masuzzo ORCID, Niels Hulstaert, Lynn Huyck, Christophe Ampe, Marleen Van Troys, Lennart Martens ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Summary: Automated image processing has allowed cell migration research to evolve to a high-throughput research field. As a consequence, there is now an unmet need for data management in this domain. The absence of a generic management system for the quantitative data generated in cell migration assays results in each dataset being treated in isolation, making data comparison across experiments difficult. Moreover, by integrating quality control and analysis capabilities into such a data management system, the common practice of having to manually transfer data across different downstream analysis tools will be markedly sped up and made more robust. In addition, access to a data management solution creates gateways for data standardization, meta-analysis and structured public data dissemination.