aMeta: an accurate and memory-efficient ancient metagenomic profiling workflow
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
aMeta: an accurate and memory-efficient ancient metagenomic profiling workflow ; volume:24 ; number:1 ; day:23 ; month:10 ; year:2023 ; pages:1-30 ; date:12.2023
Genome biology ; 24, Heft 1 (23.10.2023), 1-30, 12.2023
- Urheber
-
Pochon, Zoé
Bergfeldt, Nora
Kırdök, Emrah
Vicente, Mário
Naidoo, Thijessen
Valk, Tom van der
Altınışık, N. Ezgi
Krzewińska, Maja
Dalén, Love
Götherström, Anders
Mirabello, Claudio
Unneberg, Per
Oskolkov, Nikolay
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13059-023-03083-9
- URN
-
urn:nbn:de:101:1-2024020808503113804003
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:29 MESZ
Datenpartner
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Beteiligte
- Pochon, Zoé
- Bergfeldt, Nora
- Kırdök, Emrah
- Vicente, Mário
- Naidoo, Thijessen
- Valk, Tom van der
- Altınışık, N. Ezgi
- Krzewińska, Maja
- Dalén, Love
- Götherström, Anders
- Mirabello, Claudio
- Unneberg, Per
- Oskolkov, Nikolay
- SpringerLink (Online service)
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