Unknown

Dataset Information

0

MAPPI-DAT: data management and analysis for protein-protein interaction data from the high-throughput MAPPIT cell microarray platform.


ABSTRACT:

Summary

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.

Availability and implementation

MAPPI-DAT is developed in Python, using R for data analysis and MySQL as data management system. MAPPI-DAT is cross-platform and can be ran on Microsoft Windows, Linux and OS X/macOS. The source code and a Microsoft Windows executable are freely available under the permissive Apache2 open source license at https://github.com/compomics/MAPPI-DAT.

Contact

jan.tavernier@vib-ugent.be or lennart.martens@vib-ugent.be.

Supplementary information

Supplementary data are available at Bioinformatics online.

SUBMITTER: Gupta S 

PROVIDER: S-EPMC5408788 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

MAPPI-DAT: data management and analysis for protein-protein interaction data from the high-throughput MAPPIT cell microarray platform.

Gupta Surya S   De Puysseleyr Veronic V   Van der Heyden José J   Maddelein Davy D   Lemmens Irma I   Lievens Sam S   Degroeve Sven S   Tavernier Jan J   Martens Lennart L  

Bioinformatics (Oxford, England) 20170501 9


<h4>Summary</h4>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 o  ...[more]

Similar Datasets

| S-EPMC2991467 | biostudies-other
| S-EPMC2982151 | biostudies-literature
| S-EPMC3509493 | biostudies-literature
| S-EPMC2621150 | biostudies-literature
| S-EPMC1766414 | biostudies-literature
| S-EPMC1127019 | biostudies-literature
| S-EPMC4762622 | biostudies-literature
| S-EPMC3050818 | biostudies-other
| S-EPMC4110453 | biostudies-literature
| S-EPMC5106528 | biostudies-literature