[aut,
cre],
Yongyou Zhang
[aut]A feasible framework for mutation analysis and reverse transcription polymerase chain reaction (RT-PCR) assay evaluation of COVID-19, including mutation profile visualization, statistics and mutation ratio of each assay. The mutation ratio is conducive to evaluating the coverage of RT-PCR assays in large-sized samples. Mercatelli, D. and Giorgi, F. M. (2020) <doi:10.20944/preprints202004.0529.v1>.
| Version: | 0.1.3 |
| Depends: | R (≥ 3.6) |
| Imports: | ggplot2, cowplot, seqinr, stringr, grDevices, graphics, utils, ggpubr, dplyr, VennDiagram |
| Suggests: | testthat |
| Published: | 2020-09-18 |
| Author: | Shaoqian Ma [aut,
cre],
Yongyou Zhang
[aut] |
| Maintainer: | Shaoqian Ma <shaoqianma at qq.com> |
| BugReports: | https://github.com/MSQ-123/CovidMutations/issues |
| License: | Artistic-2.0 |
| URL: | https://github.com/MSQ-123/CovidMutations |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | CovidMutations results |
| Reference manual: | CovidMutations.pdf |
| Package source: | CovidMutations_0.1.3.tar.gz |
| Windows binaries: | r-devel: CovidMutations_0.1.3.zip, r-release: CovidMutations_0.1.3.zip, r-oldrel: CovidMutations_0.1.3.zip |
| macOS binaries: | r-release: CovidMutations_0.1.3.tgz, r-oldrel: CovidMutations_0.1.3.tgz |
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