Bioinformatics researchers and principal investigators
Reviewing the landscape of molecular biology databases for a literature review or grant proposal
The 2016 database issue of Nucleic Acids Research (NAR) and an Updated Molecular Biology Database Collection provides a comprehensive overview of 1,685 molecular biology databases, organized into 15 major categories and 41 subcategories. This mind map template covers the organization of databases by major groupings such as Nucleic acid sequence and Structure, Protein sequence and Structure, and Metabolic and Signaling pathways, including specific nodes like KEGG, MetaCyc, and Reactome. It also details the criteria for selection into NAR databases, including open access, strong originality, and high significance to scientific research. The template explains why databases are grouped to ease researcher search and why some are dropped due to commercialization, obsolescence, or integration into larger projects. With 88 new resources and 178 papers, this cheat sheet serves as a valuable reference for bioinformatics professionals and researchers.
Terms and ConditionsReviewing the landscape of molecular biology databases for a literature review or grant proposal
Teaching a course on biological databases and data resources
Selecting a suitable database for a specific research project, such as metabolic pathway analysis
Open the template in Xmind to review the 15 major categories and 41 subcategories of molecular biology databases.
Click on nodes like KEGG or Reactome to read selection criteria and add your own research notes directly to the map.
Personalize the collection by adding new databases relevant to your work before exporting the final map as a PDF or image.
The template covers the organization of 1,685 molecular biology databases into 15 categories, selection criteria, reasons for grouping, and why databases are dropped. It includes specific nodes like KEGG, MetaCyc, and Reactome.
Databases are grouped into 8 major categories such as Nucleic acid sequence and Structure, Protein sequence and Structure, and Metabolic and Signaling pathways, with subcategories like 'Viruses, Bacteria, Protozoa and Fungi'.
Databases must offer curated data not available elsewhere, show strong originality, be open access, keep updated, and be useful beyond specialists. 'Boutique' databases covering narrow topics are avoided.
Databases are dropped if they become commercial, outdated, obsolete, non-responsive, or merged into larger projects. A fixed budget also limits inclusion.
Yes, you can edit the template in Xmind by adding or removing nodes, updating database names, and reorganizing categories to fit your research needs.
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