Overview
Biological databases are digital collections of biological information such as DNA sequences, proteins, and other related information, most of which is stored in a computer system. They are essential tools for advancing the study of biology, enabling researchers to quickly and accurately access data from a wide variety of sources. With the aid of such databases, researchers can access and analyze data from a variety of sources, including both laboratory experiments and publicly available sources. Biological databases are also useful for conducting analyses of complex biological systems. For example, they can be used to analyze gene expression data and compare gene sequences across different species. Additionally, bioinformaticians can use databases to construct models of species evolution over time, as well as to study how different genes may interact with each other. In summary, biological databases are critical resources for furthering our understanding of biological systems, and they are key components of modern research and discovery.
Research published in this journal
4 peer-reviewed articles, ranked by relevance. Each links to its DOI.
The Emerging Role of Bioinformatics in Biotechnology
Functional, Structural and Contextual Analysis of a Variant of Uncertain Clinical Significance in BRCA1: c.5434C->G (p. Pro1812Ala)
Analysis and Forecast Based on the Kinetic Equation for Changing the Numerical Composition of Living Systems
How this research is being cited
The 4 articles above have been cited 11 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
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2023 · CPT Pharmacometrics & Systems Pharmacology
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2023 · CPT: Pharmacometrics & Systems Pharmacology
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2022 · JURNAL BIOLOGI TROPIS
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2022 · SSRN Electronic Journal
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2021 · Springer eBooks
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2020 · Human Immunology
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V. Aa · 2020 · Gerontology & Geriatrics Studies
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2020 · Human Immunology
A sample of recent works citing this journal's research on Biological Databases, linking to each citing work.