PGSB/MIPS PlantsDB Database Framework for the Integration and Analysis of Plant Genome Data
Manuel Spannagl1, Thomas Nussbaumer2, Kai Bader2
1Plant Genome and Systems Biology, Helmholtz Center Munich, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany. manuel.spannagl@helmholtz-muenchen.de.
Methods in Molecular Biology (Clifton, N.J.)
|December 18, 2016
Summary
The Plant Genome and Systems Biology (PGSB) database integrates and analyzes plant genome data. It supports comparative genomics for model and crop plants, enhancing data accessibility and research.
Area of Science:
- Plant genomics
- Bioinformatics
- Systems biology
Background:
- The Plant Genome and Systems Biology (PGSB) database, formerly MIPS PlantsDB, has been a key resource for plant genome data integration and analysis for over a decade.
- Existing resources focused on individual plant genomes, necessitating better integration for broader comparative studies.
Purpose of the Study:
- To present the Plant Genome and Systems Biology (PGSB) database framework.
- To highlight its capabilities in integrating and analyzing plant genome data for individual species and comparative genomics.
Main Methods:
- Development and maintenance of a database framework integrating diverse plant genome data.
- Implementation of analysis resources for individual reference genomes.
- Integration of model and crop plant genomes for comparative genomics.
- Utilizing specialized tools like the CrowsNest viewer for synteny analysis.
- Facilitating data exchange and integrated search across multiple plant genome databases via the transPLANT project.
Main Results:
- Provides flexible and intuitive access to data for individual plant genomes.
- Enables comparative genomics by integrating genomes from model and crop plants.
- Offers tools like CrowsNest for exploring conserved gene order (synteny).
- Facilitates cross-database data exchange and search capabilities through transPLANT.
Conclusions:
- PGSB serves as a comprehensive platform for plant genome data integration and analysis.
- The framework supports both single-genome studies and large-scale comparative genomics research.
- Enhanced data accessibility and integrated search functionalities advance plant science research.
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