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Increasingly powerful techniques for high-throughput sequencing open the possibility to comprehensively characterize microbial communities, including rare species. However, a still unresolved issue are the substantial error rates in the experimental process generating these sequences. To overcome these limitations we propose an approach, where each sample is split and the same amplification and sequencing protocol is applied to both halves. This procedure should allow to detect likely PCR and sequencing artifacts, and true rare species by comparison of the results of both parts. The AmpliconDuo package, whereas amplicon duo from here on refers to the two amplicon data sets of a split sample, is intended to help interpret the obtained read frequency distribution across split samples, and to filter the false positive reads.
Version: | 1.1.1 |
Depends: | R (≥ 2.10), stats, ggplot2, xtable |
Published: | 2020-05-25 |
DOI: | 10.32614/CRAN.package.AmpliconDuo |
Author: | Anja Lange [aut, cre], Daniel Hoffmann [aut] |
Maintainer: | Anja Lange <anja.lange at uni-due.de> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
CRAN checks: | AmpliconDuo results |
Reference manual: | AmpliconDuo.pdf |
Package source: | AmpliconDuo_1.1.1.tar.gz |
Windows binaries: | r-devel: AmpliconDuo_1.1.1.zip, r-release: AmpliconDuo_1.1.1.zip, r-oldrel: AmpliconDuo_1.1.1.zip |
macOS binaries: | r-release (arm64): AmpliconDuo_1.1.1.tgz, r-oldrel (arm64): AmpliconDuo_1.1.1.tgz, r-release (x86_64): AmpliconDuo_1.1.1.tgz, r-oldrel (x86_64): AmpliconDuo_1.1.1.tgz |
Old sources: | AmpliconDuo archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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