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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
Published on: December 7, 2021
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Contents, Construction Methods, Data Resources, and Functions Comparative Analysis of Bacteria Databases.
Jie Li1, Zhuo Chen1, Yadong Wang1
1School of Computer Science and Technology, Harbin Institute of Technology, China.
International Journal of Biological Sciences
|February 20, 2020
Summary
This review compares nine key bacterial databases, aiding researchers in selecting the best resources for their studies. It highlights differences in content, methods, and tools to improve bacterial data analysis.
Area of Science:
- Microbiology
- Bioinformatics
- Computational Biology
Background:
- Numerous bacterial databases exist, but they vary significantly in data resources, construction, formats, and analysis tools.
- This heterogeneity complicates researchers' selection of appropriate databases and tools for their specific needs.
- Effective utilization of bacterial data is crucial for advancing research in various biological fields.
Purpose of the Study:
- To provide a comparative analysis of nine prominent bacterial databases.
- To guide researchers in selecting suitable databases and analysis tools for their studies.
- To inform the development of more comprehensive future bacterial databases and tools.
Main Methods:
- A systematic comparison of nine selected bacterial databases: CARD, EffectiveDB, MBGD, MPD, PATRCI, PHI-base, VFDB, gcMeta, and SILVA.
- Evaluation criteria included database content, construction methodologies, data sources, update frequency, data scope and scale, available analysis tools, and unique features.
- Information was gathered from database documentation, publications, and official websites.
Main Results:
- Significant variations were observed across the nine databases in terms of data content, origin, and update frequency.
- The available analysis tools and specific features differed substantially, impacting their utility for different research questions.
- Each database possesses unique strengths, catering to specific areas such as antimicrobial resistance (CARD, PHI-base) or microbial genomics (MBGD, gcMeta).
Conclusions:
- Researchers can optimize their studies by understanding the distinct characteristics of each bacterial database.
- This comparative review serves as a practical guide for selecting appropriate resources.
- The findings can guide the development of integrated, user-friendly bacterial databases and advanced analytical tools.
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