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BEExact: a Metataxonomic Database Tool for High-Resolution Inference of Bee-Associated Microbial Communities
Author(s) -
Brendan A. Daisley,
Gregor Reid
Publication year - 2021
Publication title -
msystems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.931
H-Index - 39
ISSN - 2379-5077
DOI - 10.1128/msystems.00082-21
Subject(s) - inference , metagenomics , biology , machine learning , halictidae , computer science , artificial intelligence , data mining , ecology , apoidea , hymenoptera , biochemistry , gene
The failure of current universal taxonomic databases to support the rapidly expanding field of bee microbiota research has led to many investigators relying on “in-house” reference sets or manual classification of sequence reads (usually based on BLAST searches), often with vague identity thresholds and subjective taxonomy choices. This time expensive, error- and bias-prone process lacks standardization, cripples the potential for comparative cross-study analysis, and in many cases is likely to sway study conclusions.

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