ocsESTdb

ocsESTdb provides a curated database for comparative analysis of gene expression in oil crops, focusing on the transcriptional landscape and metabolic pathways of fatty acid synthesis and seed oil accumulation.


Key Features:

  • Comprehensive Data Collection: Contains 248,522 expressed sequence tags (ESTs) and 106,835 unigenes derived from cDNA libraries of Brassica napus, Glycine max, Sesamum indicum, and Arachis hypogaea.
  • Detailed Annotation: Unigene entries are annotated by sequence similarity searches against TAIR, NR protein database, Gene Ontology (GO), COG, Swiss-Prot, TrEMBL, and KEGG.
  • Metabolic Network Analysis: Includes five genome-scale metabolic networks integrating metabolites and gene–enzyme–reaction associations, constructed and visualized with Cytoscape and yEd.

Scientific Applications:

  • Comparative Genomics: Enables comparative analysis of acyl lipid synthesis and metabolism across the four oilseed species to identify conserved and species-specific pathways.
  • Metabolic Engineering: Provides transcriptional and network-level insights to inform selection of genes and pathways for modifying seed oil content.
  • Functional Genomics: Facilitates functional annotation and discovery of genes involved in fatty acid synthesis and other seed metabolic processes.

Methodology:

ESTs and unigenes were collected from cDNA libraries and annotated by sequence similarity searches against TAIR, NR, GO, COG, Swiss-Prot, TrEMBL, and KEGG; annotations were integrated into five genome-scale metabolic networks constructed and visualized using Cytoscape and yEd.

Topics

Collections

Details

License:
Not licensed
Tool Type:
workflow
Operating Systems:
Linux, Windows, Mac
Programming Languages:
JavaScript, Perl, SQL, Python
Added:
8/20/2017
Last Updated:
1/19/2020

Operations

Data Inputs & Outputs

Publications

Ke T, Yu J, Dong C, Mao H, Hua W, Liu S. ocsESTdb: a database of oil crop seed EST sequences for comparative analysis and investigation of a global metabolic network and oil accumulation metabolism. BMC Plant Biology. 2015;15(1). doi:10.1186/s12870-014-0399-8. PMID:25604238. PMCID:PMC4312456.

Documentation

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