SynBioTools

SynBioTools provides a curated catalog of databases, computational tools, and experimental methods to support tool retrieval, comparison, and reuse in synthetic biology.


Key Features:

  • Comprehensive Collection: SynBioTools aggregates resources, including approximately 57% not mentioned in other prominent tool registries, spanning databases, computational tools, and experimental methods.
  • Scientific Table Extraction (SciTE): Resource information was extracted from reviews using SCIentific Table Extraction (SciTE) to capture structured data from literature tables.
  • Structured Organization: Tools are grouped into nine distinct modules with further subdivisions based on potential biosynthetic applications.
  • Detailed Comparisons: For each tool classification, SynBioTools provides detailed comparisons that highlight differences among similar tools.
  • Integrated Metadata: Entries include URLs, descriptions, source references, and citation counts to support assessment of relevance and provenance.

Scientific Applications:

  • Gene synthesis: Resources applicable to design and analysis of gene synthesis workflows.
  • Metabolic engineering: Resources applicable to pathway design and optimization in metabolic engineering projects.
  • Systems biology: Resources applicable to modeling, simulation, and analysis of biological systems at the network and systems levels.

Methodology:

The catalog was built by extracting and categorizing resource information from literature tables using SCIentific Table Extraction (SciTE) scientific table-extraction techniques.

Topics

Details

License:
Freeware
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
9/18/2023
Last Updated:
9/18/2023

Operations

Data Inputs & Outputs

Publications

Cai P, Liu S, Zhang D, Xing H, Han M, Liu D, Gong L, Hu Q. SynBioTools: a one-stop facility for searching and selecting synthetic biology tools. BMC Bioinformatics. 2023;24(1). doi:10.1186/s12859-023-05281-5. PMID:37069545. PMCID:PMC10111727.

PMID: 37069545
Funding: - National Key Research and Development Program of China: 2021YFC2103001, 2019YFA0904300 - International Partnership Program of the Chinese Academy of Sciences of China: 153D31KYSB20170121