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Cited by 187

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Studying complex biological systems using multifactorial perturbation

Open access
Jansen, Ritsert C.·2003·Nature Reviews Genetics

Abstract

High-throughput genomics, transcriptomics, proteomics and metabolomics have the potential to identify the functional consequences of induced and natural genetic variation. Surprisingly, the experiments of most genomics researchers still mainly involve perturbing a biological system of interest by modifying either one factor or one gene at a time. By contrast, this article argues that multifactorial experimentation would allow the study of many more biologically relevant questions in parallel at the same or lower cost.

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Metadata

Authors
Jansen, R. C.
Venue
Nature Reviews Genetics
Published
2003-02
Volume
4
Issue
2
Pages
145-151
ISSN
  • 1471-0056 (ISSN-L)
  • 1471-0064
OpenAlex
W2171151258
Cited by
187
References
6
FWCI
1.27
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Studying complex biological systems using multifactorial perturbation. https://app.cochat.ai/papers/10.1038/nrg996
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Jansen, R. C. (2003). Studying complex biological systems using multifactorial perturbation. Nature Reviews Genetics. https://doi.org/10.1038/nrg996

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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.