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aMeta: an accurate and memory-efficient ancient Metagenom... | ResearchHub
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aMeta: an accurate and memory-efficient ancient Metagenomic profiling workflow
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Authors
Zoé Pochon
13 more
Zoé Pochon
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Nora Bergfeldt
11 more
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Nikolay Oskolkov
Published
October 5, 2022
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Preprint Server
Topics
Biology
Bioinformatics
Computer Science
Mathematics
Biochemistry
Show all topics
DOI
10.1101/2022.10.03.510579
License
CC-BY-ND
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Supporters
Support the authors with ResearchCoin
Tip RSC
Preprint Server
Topics
Biology
Bioinformatics
Computer Science
Mathematics
Biochemistry
Show all topics
DOI
10.1101/2022.10.03.510579
License
CC-BY-ND
Other Formats
PDF
