PhytoTypeDB: a database of plant protein inter-cultivar variability and function
Marco Necci1,2,3, Damiano Piovesan1, Diego Micheletti3
1Department of Biomedical Sciences, University of Padua, via U. Bassi 58/b, Padua, Italy.
Database : the Journal of Biological Databases and Curation
|December 22, 2018
Summary
PhytoTypeDB integrates plant protein data and genetic variants, enabling comparisons across species and accessions. This database provides crucial insights into plant diversity and functional variations for researchers.
Area of Science:
- Plant genomics
- Bioinformatics
- Computational biology
Background:
- Limited integration of computational resources for plant genomes.
- Existing databases primarily focus on DNA/RNA or gene families, neglecting protein structure, function, and variability.
- Lack of straightforward tools to access and visualize differences in economically important plant accessions.
Purpose of the Study:
- To develop PhytoTypeDB, a scalable database for plant protein annotations and genetic variants.
- To provide integrated access to protein data and genetic variations from resequenced plant accessions.
- To facilitate the comparison and retrieval of information on plant diversity and protein variability.
Main Methods:
- Integrated pipeline utilizing state-of-the-art protein characterization methods.
- Input requires only proteome reference sequences and variant calling files.
- Homology-based inference for protein name assignment (over 95% coverage).
- User-friendly web interface for visualizing single-nucleotide variants alongside protein annotations.
- Development of an effective querying system for comparative analysis and sequence searches.
- Provision of RESTful endpoints for programmatic data access.
Main Results:
- PhytoTypeDB successfully integrates plant protein annotations and genetic variants.
- The database allows visualization of single-nucleotide variants with protein data.
- The querying system enables comparison of variability across species and accessions.
- Over 95% of unknown proteins have their names inferred by homology.
- RESTful endpoints provide programmatic access to the database content.
Conclusions:
- PhytoTypeDB addresses the gap in integrated plant genomic and proteomic data resources.
- The database offers a user-friendly platform for exploring plant protein diversity and genetic variations.
- PhytoTypeDB enhances research capabilities in plant genomics, functional analysis, and comparative studies.
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