GROP
GROP provides a centralized repository and analysis platform for genomic and transcriptomic data from oil-producing plants to support investigation of the genetic basis of oil synthesis and biomass energy research.
Key Features:
- Integrated datasets: Integrates genomic information from 18 species, including 22 genome assemblies and 46 transcriptomes.
- Data types: Contains coding sequences, protein sequences, genome structures, and functional annotation information.
- Next-generation sequencing support: Incorporates datasets generated using next-generation sequencing technologies.
- BLAST Tool: Performs sequence similarity searches against the repository datasets using BLAST.
- Genome Browser: Provides genome browsing and visualization of genome assemblies and transcriptomes.
- Functional Enrichment Analysis: Performs functional enrichment analysis to identify significant biological processes, pathways, or gene ontology terms.
- Search Functionality: Facilitates retrieval of specific genomic information from the repository.
Scientific Applications:
- Genetic basis of oil synthesis: Supports studies aimed at understanding the genetic basis of oil synthesis in plants.
- Biomass energy research: Enables genomic investigations relevant to renewable biomass energy production.
- Sustainable agriculture: Supports research contributing to sustainable agricultural practices.
Methodology:
Integrates genomic and transcriptomic datasets derived from next-generation sequencing and provides BLAST-based sequence similarity searches, genome browser visualization, and functional enrichment analysis.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 12/31/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Guo W, Jin H, Chen J, Huang J, Zheng D, Cheng Z, Liu X, Yang Z, Chen F, Lim K, Wang Z. GROP: A genomic information repository for oilplants. Frontiers in Plant Science. 2022;13. doi:10.3389/fpls.2022.1023938. PMID:36275551. PMCID:PMC9583018.