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Filtering out the noise: metagenomic classifiers optimize ancient DNA mapping.

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Title: Filtering out the noise: metagenomic classifiers optimize ancient DNA mapping.
Authors: Ravishankar S; Australian Centre for Ancient DNA (ACAD) and The Environment Institute, The School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia., Perez V; Australian Centre for Ancient DNA (ACAD) and The Environment Institute, The School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia.; Centre of Excellence for Australian Biodiversity and Heritage, University of Adelaide, Adelaide, SA, Australia., Davidson R; Australian Centre for Ancient DNA (ACAD) and The Environment Institute, The School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia., Roca-Rada X; Australian Centre for Ancient DNA (ACAD) and The Environment Institute, The School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia.; Faculty of Arts and Humanities, University of Coimbra, Coimbra, Portugal., Lan D; Australian Centre for Ancient DNA (ACAD) and The Environment Institute, The School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia.; Genozip Limited, Hong Kong., Souilmi Y; Australian Centre for Ancient DNA (ACAD) and The Environment Institute, The School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia.; National Centre for Indigenous Genomics, Australian National University, Canberra, ACT, Australia.; Indigenous Genomics, Telethon Kids Institute, Adelaide, SA, Australia., Llamas B; Australian Centre for Ancient DNA (ACAD) and The Environment Institute, The School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia.; Centre of Excellence for Australian Biodiversity and Heritage, University of Adelaide, Adelaide, SA, Australia.; National Centre for Indigenous Genomics, Australian National University, Canberra, ACT, Australia.; Indigenous Genomics, Telethon Kids Institute, Adelaide, SA, Australia.
Source: Briefings in bioinformatics [Brief Bioinform] 2024 Nov 22; Vol. 26 (1).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN: 1477-4054 (Electronic) Linking ISSN: 14675463 NLM ISO Abbreviation: Brief Bioinform Subsets: MEDLINE
Database: MEDLINE Ultimate
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