MAPPI-DAT : data management and analysis for protein-protein interaction data from the high-throughput MAPPIT cell microarray platform
- Author
- Surya Gupta (UGent) , Veronic De Puysseleyr, José Van Der Heyden (UGent) , Davy Maddelein (UGent) , Irma Lemmens (UGent) , Sam Lievens (UGent) , Sven Degroeve (UGent) , Jan Tavernier (UGent) and Lennart Martens (UGent)
- Organization
- Abstract
- Protein-protein interaction (PPI) studies have dramatically expanded our knowledge about cellular behaviour and development in different conditions. A multitude of high-throughput PPI techniques have been developed to achieve proteome-scale coverage for PPI studies, including the microarray based Mammalian Protein-Protein Interaction Trap (MAPPIT) system. Because such high-throughput techniques typically report thousands of interactions, managing and analysing the large amounts of acquired data is a challenge. We have therefore built the MAPPIT cell microArray Protein Protein Interaction-Data management & Analysis Tool (MAPPI-DAT) as an automated data management and analysis tool for MAPPIT cell microarray experiments. MAPPI-DAT stores the experimental data and metadata in a systematic and structured way, automates data analysis and interpretation, and enables the meta-analysis of MAPPIT cell microarray data across all stored experiments.
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8516823
- MLA
- Gupta, Surya, et al. “MAPPI-DAT : Data Management and Analysis for Protein-Protein Interaction Data from the High-Throughput MAPPIT Cell Microarray Platform.” BIOINFORMATICS, vol. 33, no. 9, 2017, pp. 1424–25, doi:10.1093/bioinformatics/btx014.
- APA
- Gupta, S., De Puysseleyr, V., Van Der Heyden, J., Maddelein, D., Lemmens, I., Lievens, S., … Martens, L. (2017). MAPPI-DAT : data management and analysis for protein-protein interaction data from the high-throughput MAPPIT cell microarray platform. BIOINFORMATICS, 33(9), 1424–1425. https://doi.org/10.1093/bioinformatics/btx014
- Chicago author-date
- Gupta, Surya, Veronic De Puysseleyr, José Van Der Heyden, Davy Maddelein, Irma Lemmens, Sam Lievens, Sven Degroeve, Jan Tavernier, and Lennart Martens. 2017. “MAPPI-DAT : Data Management and Analysis for Protein-Protein Interaction Data from the High-Throughput MAPPIT Cell Microarray Platform.” BIOINFORMATICS 33 (9): 1424–25. https://doi.org/10.1093/bioinformatics/btx014.
- Chicago author-date (all authors)
- Gupta, Surya, Veronic De Puysseleyr, José Van Der Heyden, Davy Maddelein, Irma Lemmens, Sam Lievens, Sven Degroeve, Jan Tavernier, and Lennart Martens. 2017. “MAPPI-DAT : Data Management and Analysis for Protein-Protein Interaction Data from the High-Throughput MAPPIT Cell Microarray Platform.” BIOINFORMATICS 33 (9): 1424–1425. doi:10.1093/bioinformatics/btx014.
- Vancouver
- 1.Gupta S, De Puysseleyr V, Van Der Heyden J, Maddelein D, Lemmens I, Lievens S, et al. MAPPI-DAT : data management and analysis for protein-protein interaction data from the high-throughput MAPPIT cell microarray platform. BIOINFORMATICS. 2017;33(9):1424–5.
- IEEE
- [1]S. Gupta et al., “MAPPI-DAT : data management and analysis for protein-protein interaction data from the high-throughput MAPPIT cell microarray platform,” BIOINFORMATICS, vol. 33, no. 9, pp. 1424–1425, 2017.
@article{8516823,
abstract = {{Protein-protein interaction (PPI) studies have dramatically expanded our knowledge about cellular behaviour and development in different conditions. A multitude of high-throughput PPI techniques have been developed to achieve proteome-scale coverage for PPI studies, including the microarray based Mammalian Protein-Protein Interaction Trap (MAPPIT) system. Because such high-throughput techniques typically report thousands of interactions, managing and analysing the large amounts of acquired data is a challenge. We have therefore built the MAPPIT cell microArray Protein Protein Interaction-Data management & Analysis Tool (MAPPI-DAT) as an automated data management and analysis tool for MAPPIT cell microarray experiments. MAPPI-DAT stores the experimental data and metadata in a systematic and structured way, automates data analysis and interpretation, and enables the meta-analysis of MAPPIT cell microarray data across all stored experiments.}},
author = {{Gupta, Surya and De Puysseleyr, Veronic and Van Der Heyden, José and Maddelein, Davy and Lemmens, Irma and Lievens, Sam and Degroeve, Sven and Tavernier, Jan and Martens, Lennart}},
issn = {{1367-4803}},
journal = {{BIOINFORMATICS}},
language = {{eng}},
number = {{9}},
pages = {{1424--1425}},
title = {{MAPPI-DAT : data management and analysis for protein-protein interaction data from the high-throughput MAPPIT cell microarray platform}},
url = {{http://doi.org/10.1093/bioinformatics/btx014}},
volume = {{33}},
year = {{2017}},
}
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