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

Paola Masuzzo (UGent) , Niels Hulstaert (UGent) , Lynn Huyck (UGent) , Christophe Ampe (UGent) , Marleen Van Troys (UGent) and Lennart Martens (UGent)
(2013) BIOINFORMATICS. 29(20). p.2661-2663
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Bioinformatics: from nucleotids to networks (N2N)
Abstract
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.
Keywords
SCRATCH ASSAY, IN-VITRO

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Citation

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Chicago
Masuzzo, Paola, Niels Hulstaert, Lynn Huyck, Christophe Ampe, Marleen Van Troys, and Lennart Martens. 2013. “CellMissy: a Tool for Management, Storage and Analysis of Cell Migration Data Produced in Wound Healing-like Assays.” Bioinformatics 29 (20): 2661–2663.
APA
Masuzzo, P., Hulstaert, N., Huyck, L., Ampe, C., Van Troys, M., & Martens, L. (2013). CellMissy: a tool for management, storage and analysis of cell migration data produced in wound healing-like assays. BIOINFORMATICS, 29(20), 2661–2663.
Vancouver
1.
Masuzzo P, Hulstaert N, Huyck L, Ampe C, Van Troys M, Martens L. CellMissy: a tool for management, storage and analysis of cell migration data produced in wound healing-like assays. BIOINFORMATICS. 2013;29(20):2661–3.
MLA
Masuzzo, Paola, Niels Hulstaert, Lynn Huyck, et al. “CellMissy: a Tool for Management, Storage and Analysis of Cell Migration Data Produced in Wound Healing-like Assays.” BIOINFORMATICS 29.20 (2013): 2661–2663. Print.
@article{4216129,
  abstract     = {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.},
  author       = {Masuzzo, Paola and Hulstaert, Niels and Huyck, Lynn and Ampe, Christophe and Van Troys, Marleen and Martens, Lennart},
  issn         = {1367-4803},
  journal      = {BIOINFORMATICS},
  keyword      = {SCRATCH ASSAY,IN-VITRO},
  language     = {eng},
  number       = {20},
  pages        = {2661--2663},
  title        = {CellMissy: a tool for management, storage and analysis of cell migration data produced in wound healing-like assays},
  url          = {http://dx.doi.org/10.1093/bioinformatics/btt437},
  volume       = {29},
  year         = {2013},
}

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