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The 2016 Nucleic Acid Research Database

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Science notesScience notes

About

The 2016 Nucleic Acid Research Database mind map organizes 132 nodes across 15 database categories from the NAR annual database issue, which featured 178 papers including 62 new online databases and 95 updates. This template covers nucleotide sequence databases like GenBank and DDBJ, RNA sequence databases such as Rfam, and protein sequence databases including domain and family classifications. It also details metabolic pathways like KEGG, human gene and disease resources, and specialized fields like immunological and plant databases. The map explains why databases are dropped (e.g., integrated into larger projects, not updated) and groups data to aid researchers in finding suitable resources for genetic disease research, drug development, and comparative genomics. A systematic grouping template helps researchers quickly locate correct databases for specific studies.

Terms and Conditions

When to use this template

Biomedical researchers and bioinformaticians

When starting a literature review on genetic basis of disease, especially cancer, to find relevant databases.

Pharmacologists and drug discovery scientists

When selecting a database for drug research, including patented drugs, side effects, and drug targets.

Educators and students in bioinformatics

When teaching a course on molecular biology databases and need a structured overview of available resources.

How to use this template

Step 1

Open and Explore Database Categories

Open the file in Xmind and expand the main branches to navigate through the 15 organized database categories.

Step 2

Customize Database Details and Notes

Select specific database nodes like GenBank or KEGG to edit descriptions, add research notes, or update the list with new entries.

Step 3

Export and Share Research Findings

Use the export feature to save your customized database map as an image or PDF for use in research documentation.

Frequently asked questions

The template covers 15 database categories from the NAR issue, including nucleotide, RNA, protein, structure, genomics, metabolic pathways, human gene and disease, microarray data, proteomics, organelle, plant, immunological, and cell biology databases, plus criteria for selection and reasons for database removal.

Use the grouped categories to quickly identify relevant databases for your research area, such as KEGG for metabolic pathways or GenBank for nucleotide sequences. The criteria section helps you evaluate database reliability.

Yes, the Xmind template is free to use and fully editable. You can customize nodes, add notes, or reorganize branches to fit your specific research needs.

It lists the NAR selection criteria: databases must be free, web-accessible without login, not contain new experimental results, and include adequate help materials for first-time users.

Databases are dropped if they are integrated into larger projects, become commercial without free access, have outdated data, or have non-responsive data administrators.

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