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OptiFit: an Improved Method for Fitting Amplicon Sequences to Existing OTUs
Author(s) -
Kelly L Sovacool,
Sarah L. Westcott,
Michael B. Mumphrey,
Gabrielle A. Dotson,
Patrick Schloß
Publication year - 2022
Publication title -
msphere
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.749
H-Index - 39
ISSN - 2379-5042
DOI - 10.1128/msphere.00916-21
Subject(s) - cluster analysis , computer science , set (abstract data type) , similarity (geometry) , amplicon , data mining , data set , sequence (biology) , artificial intelligence , biology , image (mathematics) , genetics , polymerase chain reaction , gene , programming language
Advancements in DNA sequencing technology have allowed researchers to affordably generate millions of sequence reads from microorganisms in diverse environments. Efficient and robust software tools are needed to assign microbial sequences into taxonomic groups for characterization and comparison of communities.