What is Bioinformatics? A Proposed Definition and Overview of the Field
Abstract
Background The recent flood of data from genome sequences and functional genomics has given rise to new field, bioinformatics, which combines elements of biology and computer science. Objectives Here we propose a definition for this new field and review some of the research that is being pursued, particularly in relation to transcriptional regulatory systems. Methods Our definition is as follows: Bioinformatics is conceptualizing biology in terms of macromolecules (in the sense of physical-chemistry) and then applying "informatics" techniques (derived from disciplines such as applied maths, computer science, and statistics) to understand and organize the information associated with these molecules, on a large-scale. Results and conclusions Analyses in bioinformatics predominantly focus on three types of large datasets available in molecular biology: macromolecular structures, genome sequences, and the results of functional genomics experiments (e.g. expression data). Additional information includes the text of scientific papers and "relationship data" from metabolic pathways, taxonomy trees, and protein-protein interaction networks. Bioinformatics employs a wide range of computational techniques including sequence and structural alignment, database design and data mining, macromolecular geometry, phylogenetic tree construction, prediction of protein structure and function, gene finding, and expression data clustering. The emphasis is on approaches integrating a variety of com…
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Global response of <i>Saccharomyces cerevisiae</i> to an alkylating agent
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Cryan, J. F., O'Riordan, K. J., Cowan, C. S. M., Sandhu, K. V., Bastiaanssen, T. F. S., Boehme, M., Codagnone, M. G., Cussotto, S., Fulling, C., Golubeva, A. V., et al. (2019) · Physiological Reviews · doi:10.1152/physrev.00018.2018 · Cited by 5,286 · see citing works
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Wood, C. C. (2019) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2018.0380 · Cited by 14 · see citing works
- Authors
- Luscombe, N. M., Greenbaum, D., & Gerstein, M.
- Affiliations
- Yale University (US)
- Corresponding author
- Gerstein, M.
- Venue
- Methods of Information in Medicine
- Publisher
- Georg Thieme Verlag KG
- Published
- 2001
- Volume
- 40
- Issue
- 04
- Pages
- 346-358
- ISSN
- 0026-1270 (ISSN-L)
- 2511-705X
- OpenAlex
- W2148319892
- Cited by
- 453
- References
- 1
- Citations by year
- 2026: 10 · 2025: 8 · 2024: 16 · 2023: 17 · 2022: 25 · 2021: 27 · 2020: 29 · 2019: 36 · 2018: 19 · 2017: 22 · 2016: 11 · 2015: 17 · 2014: 24 · 2013: 21 · 2012: 23
- FWCI
- 4.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Methods of Information in Medicine (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genetics, Bioinformatics, and Biomedical Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- genome sequence, functional genomics, macromolecular structure, sequence alignment, phylogenetic tree construction, protein structure prediction, gene discovery, protein-protein interaction network, metabolic pathways, drug design, homology detection, data integration
- MeSH terms
- DNA-Binding Proteins, Humans, Terminology as Topic, Drug Design, Gene Expression, Sequence Homology, Computational Biology, Genomics
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