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Cited by 278Genetics, Bioinformatics, and Biomedical ResearchGenomics and Phylogenetic StudiesBioinformatics and Genomic Networks

The DOI matches its Crossref record; 26 of the 27 references it cites were found in a registry or an index; none of the 4 sources its claims cite is checked for support yet.

Bioinformatics

Open access
Bayat, Ardeshir·2002·BMJ

Abstract

An unprecedented wealth of biological data has been generated by the human genome project and sequencing projects in other organisms.The huge demand for analysis and interpretation of these data is being managed by the evolving science of bioinformatics.Bioinformatics is defined as the application of tools of computation and analysis to the capture and interpretation of biological data.It is an interdisciplinary field, which harnesses computer science, mathematics, physics, and biology (fig 1).Bioinformatics is essential for management of data in modern biology and medicine.This paper describes the main tools of the bioinformatician and discusses how they are being used to interpret biological data and to further understanding of disease.The potential clinical applications of these data in drug discovery and development are also discussed. MethodsThis article is based on personal experience in bioinformatics and on selected articles in recent issues of Nature Genetics, Nature Genetics Reviews, Nature Medicine, and Science.Key terms including bioinformatics, comparative and functional genomics, proteomics, microarray, disease, and medicine were used to search for relevant articles in the peer reviewed scientific literature.

Overview

CoChat Summary

TL;DR

This narrative review defines bioinformatics as the application of computational and analytical tools to capture and interpret biological data, and describes its role in genomics, proteomics, transcriptomics, and clinical medicine. It argues that bioinformatics is essential for managing modern biological data and will increasingly enable drug discovery, targeted therapy, and personalised medicine.

Key findings

  • Bioinformatics is defined as “the application of tools of computation and analysis to the capture and interpretation of biological data,” and is described as an interdisciplinary field harnessing computer science, mathematics, physics, and biology.
  • The paper highlights core bioinformatic tools and resources, including BLAST for sequence similarity searches, Ensembl for automatic annotation of eukaryotic genomes, and public databases such as Genbank, SWISS-PROT, and NCBI’s Entrez.
  • Genome sequencing milestones are cited: the first complete genome of a free-living organism, *Haemophilus influenzae*, was sequenced in 1995 using a “shot gun” technique; the human genome project planned to complete the human sequence by 2003.
  • Clinical applications discussed include using PubMed and OMIM for genetic disorder information, the development of imatinib mesylate (Gleevec) for chronic myeloid leukaemia, and longer-term prospects for pharmacogenomics and individualised therapy.

Methods

  • Design: narrative review based on “personal experience in bioinformatics and on selected articles in recent issues of Nature Genetics, Nature Genetics Reviews, Nature Medicine, and Science.”
  • Search approach: key terms including bioinformatics, comparative and functional genomics, proteomics, microarray, disease, and medicine were used to search peer-reviewed scientific literature.
  • Analysis: descriptive synthesis of bioinformatic tools, databases, genomic/proteomic concepts, and potential clinical applications; no primary data collection or quantitative analysis is reported.

Limitations

  • The paper does not state explicit limitations.
  • Evident from the text: it is a non-systematic narrative review based on personal experience and selected articles, with no described systematic search strategy, inclusion criteria, or critical appraisal.
  • Evident from the text: many clinical and future applications are presented as prospects or predictions rather than demonstrated outcomes, and no empirical data are reported to support them.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1136/bmj.324.7344.1018

Cites

26 of 26 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

0 Valid · 7 Not valid · 4 Not checked · 19 Own results and interpretations

  • Probably not a substantial claim. 27
  • It may state two separate claims as one. 8

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Citations

Cites

Show all 27 references

Cited by

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Metadata

Authors
Bayat, A.
Affiliations
University of Manchester (GB)
Corresponding author
Bayat, Ardeshir
Venue
BMJ
Publisher
BMJ
Published
2002-04-27
Volume
324
Issue
7344
Pages
1018-1022
ISSN
  • 0007-1447 (ISSN-L)
  • 0959-8138
  • 1468-5833
OpenAlex
W2025004204
Cited by
278
References
27
Citations by year
2026: 13 · 2025: 25 · 2024: 46 · 2023: 43 · 2022: 35 · 2021: 23 · 2020: 15 · 2019: 4 · 2018: 7 · 2017: 3 · 2016: 4 · 2014: 1 · 2013: 5 · 2012: 5
FWCI
2.08
Type
journal article
Language
en
Open access
Locations
  • BMJ (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • Research Explorer (The University of Manchester) (submittedVersion)
  • DigitalGeorgetown (Georgetown University Library) (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
bioinformatics, human genome, comparative genomics, functional genomics, proteomics, microarray, drug discovery, disease
MeSH terms
Forecasting, Humans, Genome, Human, Computational Biology, Internet, Genomics

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How to cite

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This page
CoChat. (2026). Citation check: Bioinformatics. https://app.cochat.ai/papers/10.1136/bmj.324.7344.1018
The paper
Bayat, A. (2002). Bioinformatics. BMJ. https://doi.org/10.1136/bmj.324.7344.1018

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.