Benchmarking of chimera removal methods.

Benchmarking of chimera removal methods.

<p>Each panel shows a quality metric for the four chimera removal methods tested (see Methods for detailed description of the metrics). The benchmarking was run on the early version of the Swedish IBA data (636,297 ASVs).</p>

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Bibliographic Details
Main Author: John Sundh (4486429) (author)
Other Authors: Emma Granqvist (22582298) (author), Ela Iwaszkiewicz-Eggebrecht (21236594) (author), Lokeshwaran Manoharan (10693472) (author), Laura J. A. van Dijk (4639210) (author), Robert Goodsell (22582301) (author), Nerivania N. Godeiro (22582304) (author), Bruno C. Bellini (12844121) (author), Johanna Orsholm (22582307) (author), Piotr Łukasik (3319233) (author), Andreia Miraldo (3245715) (author), Tomas Roslin (425902) (author), Ayco J. M. Tack (2921256) (author), Anders F. Andersson (6628826) (author), Fredrik Ronquist (167458) (author)
Published: 2025
Subjects:
Genetics
Evolutionary Biology
Marine Biology
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
signals across samples
integrates &# 8216
echo &# 8217
best performing tools
scale metabarcoding data
deep metabarcoding data
enabling efficient analysis
noisy data
taxonomic annotation
sequencing errors
reproducible approach
parameter settings
otu clustering
novel algorithm
insects demonstrate
extensive datasets
chimera removal
biodiversity monitoring
accuracy pipeline
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