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Cited by 498

The DOI matches its Crossref record; 103 of the 103 references it cites were found in a registry or an index.

Petabase-scale sequence alignment catalyses viral discovery

Open access
Edgar, Robert C., Taylor, Brie, Lin, Victor, Altman, Tomer, Barbera, Pierre, Meleshko, Dmitry, Lohr, Dan, Novakovsky, Gherman, Buchfink, Benjamin, Al-Shayeb, Basem, Banfield, Jillian F., de la Peña, Marcos, Korobeynikov, Anton, Chikhi, Rayan, Babaian, Artem·2022·Nature

Abstract

Abstract Public databases contain a planetary collection of nucleic acid sequences, but their systematic exploration has been inhibited by a lack of efficient methods for searching this corpus, now exceeding multiple petabases and growing exponentially [1, 2]. We developed a cloud computing infrastructure, Serratus , to enable ultra-high throughput sequence alignment at the petabase scale. We searched 5.7 million biologically diverse samples (10.2 petabases) for the hallmark gene RNA dependent RNA polymerase, identifying well over 10 5 novel RNA viruses and thereby expanding the number of known species by roughly an order of magnitude. We characterised novel viruses related to coronaviruses and to hepatitis δ virus, respectively and explored their environmental reservoirs. To catalyse a new era of viral discovery, we established a free and comprehensive database of these data and tools. Expanding the known sequence diversity of viruses can reveal the evolutionary origins of emerging pathogens and improve pathogen surveillance for the anticipation and mitigation of future pandemics.

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Metadata

Authors
Edgar, R. C., Taylor, B., Lin, V., Altman, T., Barbera, P., Meleshko, D., Lohr, D., Novakovsky, G., Buchfink, B., Al-Shayeb, B., Banfield, J. F., de la Peña, M., Korobeynikov, A., Chikhi, R., & Babaian, A.
Venue
Nature
Published
2022-01-26
Volume
602
Issue
7895
Pages
142-147
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W4221049439
Cited by
498
References
103
FWCI
28.38
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Petabase-scale sequence alignment catalyses viral discovery. https://app.cochat.ai/papers/10.1038/s41586-021-04332-2
The paper
Edgar, R. C., Taylor, B., Lin, V., Altman, T., Barbera, P., Meleshko, D., Lohr, D., Novakovsky, G., Buchfink, B., Al-Shayeb, B., Banfield, J. F., de la Peña, M., Korobeynikov, A., Chikhi, R., & Babaian, A. (2022). Petabase-scale sequence alignment catalyses viral discovery. Nature. https://doi.org/10.1038/s41586-021-04332-2

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

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