CSDB

CSDB provides a curated repository of glycan structures and associated metadata from bacterial, fungal, and plant sources for glycoscience research.


Key Features:

  • Curated glycan repository: Compiles structures and metadata of glycans derived from bacterial, fungal, and plant sources with comprehensive coverage of bacterial and fungal carbohydrates as of 2020.
  • Specialized analytical tools: Offers a suite of tools to support various analytical studies related to glycans.
  • SQL data distribution: Provides source data files in SQL format and a self-contained SQL dump for advanced queries and analyses.
  • Text dump export: Supplies source text dump files that can be imported into alternative database architectures.
  • Analytical query support: Enables analyses such as chain length distribution and charge distribution tailored by structural, taxonomic, or other defined parameters.

Scientific Applications:

  • Glycan structural analysis: Support statistical and distributional analyses of glycan chain lengths and charges across datasets.
  • Comparative glycomics: Enable comparison of glycan repertoires across bacterial, fungal, and plant taxa.
  • Custom database integration: Facilitate import of carbohydrate data into alternative database architectures for downstream analyses.
  • Taxonomic and structural profiling: Allow profiling of glycan features by structural, taxonomic, or user-defined parameters.

Methodology:

Data are distributed as SQL dumps and source text dump files, and analyses are supported via provided specialized tools and SQL-based queries (e.g., chain length and charge distribution calculations).

Topics

Details

License:
Not licensed
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
SQL
Added:
7/20/2022
Last Updated:
7/20/2022

Operations

Publications

Toukach PV, Egorova KS. Source files of the Carbohydrate Structure Database: the way to sophisticated analysis of natural glycans. Scientific Data. 2022;9(1). doi:10.1038/s41597-022-01186-9. PMID:35354826. PMCID:PMC8968703.

PMID: 35354826
PMCID: PMC8968703
Funding: - Russian Science Foundation: 18-14-00098-P