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  Petabase-scale sequence alignment catalyses viral discovery

Edgar, R., Taylor, J., Lin, V., Altman, T., Barbera, P., Meleshko, T., et al. (2022). Petabase-scale sequence alignment catalyses viral discovery. Nature, 602(7895), 142-147. doi:10.1038/s41586-021-04332-2.

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Genre: Zeitschriftenartikel

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Edgar, RC, Autor
Taylor, J, Autor
Lin, V, Autor
Altman, T, Autor
Barbera, P, Autor
Meleshko, T, Autor
Lohr, D, Autor
Novakovsky, G, Autor
Buchfink, B1, 2, Autor           
Al-Shayeb , B, Autor
Banfield, JF, Autor
de la Peña , M, Autor
Korobeynikov, A, Autor
Chikhi, R, Autor
Babaian, A, Autor
Affiliations:
1Department Molecular Biology, Max Planck Institute for Biology Tübingen, Max Planck Society, ou_3371687              
2Computational Biology Group, Department Molecular Biology, Max Planck Institute for Biology Tübingen, Max Planck Society, ou_3496867              

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 Zusammenfassung: 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, which (at the time of writing) exceeds 20 petabases and is growing exponentially1. Here 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 and identified well over 105 novel RNA viruses, thereby expanding the number of known species by roughly an order of magnitude. We characterized novel viruses related to coronaviruses, hepatitis delta virus and huge phages, respectively, and analysed their environmental reservoirs. To catalyse the ongoing revolution 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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 Datum: 2022-02
 Publikationsstatus: Erschienen
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 Identifikatoren: DOI: 10.1038/s41586-021-04332-2
PMID: 35082445
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Titel: Nature
  Kurztitel : Nature
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: London : Nature Publishing Group
Seiten: - Band / Heft: 602 (7895) Artikelnummer: - Start- / Endseite: 142 - 147 Identifikator: ISSN: 0028-0836
CoNE: https://pure.mpg.de/cone/journals/resource/954925427238