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Title:

Taxonomy Informed Clustering, an Optimized Method for Purer and More Informative Clusters in Diversity Analysis and Microbiome Profiling

Document type:
Zeitschriftenaufsatz
Author(s):
Kioukis, Antonios ; Pourjam, Mohsen ; Neuhaus, Klaus ; Lagkouvardos, Ilias
Keywords:
Bioinformatics ; taxonomic classification ; microbial diversity ; clustering ; microbiome analysis ; amplicon sequencing ; NGS processing pipeline
Journal title:
Frontiers in Bioinformatics
Year:
2022
Journal volume:
2
Fulltext / DOI:
doi:10.3389/fbinf.2022.864597
Publisher:
Frontiers Media S.A.
E-ISSN:
2673-7647
Date of publication:
27.04.2022
CC license:
by, https://creativecommons.org/licenses/by/4.0
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