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Cited by 299

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

The future is now: single-cell genomics of bacteria and archaea

Open access
Blainey, Paul C.·2013·FEMS Microbiology Reviews

Abstract

Interest in the expanding catalog of uncultivated microorganisms, increasing recognition of heterogeneity among seemingly similar cells, and technological advances in whole-genome amplification and single-cell manipulation are driving considerable progress in single-cell genomics. Here, the spectrum of applications for single-cell genomics, key advances in the development of the field, and emerging methodology for single-cell genome sequencing are reviewed by example with attention to the diversity of approaches and their unique characteristics. Experimental strategies transcending specific methodologies are identified and organized as a road map for future studies in single-cell genomics of environmental microorganisms. Over the next decade, increasingly powerful tools for single-cell genome sequencing and analysis will play key roles in accessing the genomes of uncultivated organisms, determining the basis of microbial community functions, and fundamental aspects of microbial population biology.

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Metadata

Authors
Blainey, P. C.
Venue
FEMS Microbiology Reviews
Published
2013-05
Volume
37
Issue
3
Pages
407-427
ISSN
  • 0168-6445 (ISSN-L)
  • 1574-6976
OpenAlex
W1530180951
Cited by
299
References
3
FWCI
17.35
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The future is now: single-cell genomics of bacteria and archaea. https://app.cochat.ai/papers/10.1111/1574-6976.12015
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Blainey, P. C. (2013). The future is now: single-cell genomics of bacteria and archaea. FEMS Microbiology Reviews. https://doi.org/10.1111/1574-6976.12015

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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.