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aMeta: an accurate and memory-efficient ancient metagenomic profiling workflow
Pochon, Zoé
Bergfeldt, Nora
Kırdök, Emrah
Vicente, Mário
Naidoo, Thijessen
van der Valk, Tom
Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
Altınışık, N. Ezgi
Krzewińska, Maja
Dalén, Love
Götherström, Anders
Mirabello, Claudio
Unneberg, Per
Oskolkov, Nikolay
ORCID iD:
0000-0001-5326-8893
Show others and affiliations
2023 (English)
In:
Genome Biology, ISSN 1465-6906, E-ISSN 1474-760X, Vol. 24, no 1, article id 242
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2023. Vol. 24, no 1, article id 242
National Category
Bioinformatics and Systems Biology
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URN:
urn:nbn:se:nrm:diva-5333
DOI:
10.1186/s13059-023-03083-9
OAI: oai:DiVA.org:nrm-5333
DiVA, id:
diva2:1812791
Funder
Knut and Alice Wallenberg Foundation
Swedish Research Council
Lund University
Knut and Alice Wallenberg Foundation
Swedish Research Council
Lund University
Knut and Alice Wallenberg Foundation
Swedish Research Council
Lund University
Available from:
2023-11-17
Created:
2023-11-17
Last updated:
2023-12-14
Bibliographically approved
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Oskolkov, Nikolay
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