https://github.com/compomics/mappi-dat

analysis and data management tool for high-throughput protein-protein interaction data generated from microarray-MAPPIT system

https://github.com/compomics/mappi-dat

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: ncbi.nlm.nih.gov
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.2%) to scientific vocabulary
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Repository

analysis and data management tool for high-throughput protein-protein interaction data generated from microarray-MAPPIT system

Basic Info
  • Host: GitHub
  • Owner: CompOmics
  • License: apache-2.0
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 158 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
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Created almost 10 years ago · Last pushed about 9 years ago
Metadata Files
Readme License

README.md

MAPPI-DAT


MAPPI-DAT workflow


Project Description

MAPPI-DAT (Mappit microArray Protein Protein Interaction- Data management & Analysis Tool) is an automated high-throughput data management and analysis system for microarray-MAPPIT system. MAPPI-DAT is capable of processing many thousand data points for each experiment, and comprising a data storage system that stores the experimental data in a structured way.

MAPPI-DAT application include graphical user interface. The analysis system is comprising of three steps: normalization, analysis and post filtration. The management system contains a back-end relational database and retrieval system, allowing user to store and download different projects using MAPPI-DAT interface with three main divisions for analysis, database submission and retrieval.

Citation

MAPPI-DAT: data management and analysis for protein-protein interaction data from the high-throughput MAPPIT cell microarray platform” Surya Gupta, Veronic De Puysseleyr, José Van der Heyden, Davy Maddelein, Irma Lemmens, Sam Lievens, Sven Degroeve, Jan Tavernier, and Lennart Martens. Bioinformatics 2017; 33 (9): 1424-1425, PMID: 28104627

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Downloads

Python project: MAPPI-DAT project can be downloaded from MAPPI-DAT.

Windows stand-alone files: window compatible .exe files can be downloaded from:

database schema: MySQL schema for the MAPPI-DAT can be downloaded from here

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Usage

See the manual for further information about how to use the tool.

Sample data can be downloaded from here

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Project Support

MAPPI-DAT project is supported by:

| Compomics | VIB | Ghent University| |:--:|:--:|:--:| | compomics | vib | ugent |

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Owner

  • Name: Computational Omics and Systems Biology Group
  • Login: CompOmics
  • Kind: organization
  • Email: compomics.list@gmail.com

The CompOmics group, headed by Prof. Dr. Lennart Martens, specializes in the management, analysis and integration of high-throughput Omics data.

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