Package: MBmca 1.0.1
Stefan Roediger
MBmca: Nucleic Acid Melting Curve Analysis
Lightweight utilities for nucleic acid melting curve analysis are important in life sciences and diagnostics. This software can be used for the analysis and presentation of melting curve data from microbead-based assays (surface melting curve analysis) and reactions in solution (e.g., quantitative PCR (qPCR), real-time isothermal Amplification). Further information are described in detail in two publications in The R Journal [ <https://journal.r-project.org/archive/2013-2/roediger-bohm-schimke.pdf>; <https://journal.r-project.org/archive/2015-1/RJ-2015-1.pdf>].
Authors:
MBmca_1.0.1.tar.gz
MBmca_1.0.1.zip(r-4.5)MBmca_1.0.1.zip(r-4.4)MBmca_1.0.1.zip(r-4.3)
MBmca_1.0.1.tgz(r-4.4-any)MBmca_1.0.1.tgz(r-4.3-any)
MBmca_1.0.1.tar.gz(r-4.5-noble)MBmca_1.0.1.tar.gz(r-4.4-noble)
MBmca_1.0.1.tgz(r-4.4-emscripten)MBmca_1.0.1.tgz(r-4.3-emscripten)
MBmca.pdf |MBmca.html✨
MBmca/json (API)
# Install 'MBmca' in R: |
install.packages('MBmca', repos = c('https://pcruniversum.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pcruniversum/mbmca/issues
- DMP - Bimodal melting curve experiment on the surface of microbeads.
- DualHyb - Surface melting curve data from direct hybridization experiment of short oligonucleotide probes with bimodal melting curve pattern.
- MultiMelt - Surface melting curve data from direct hybridization experiment of short oligonucleotides.
Last updated 4 years agofrom:def2bb5807. Checks:OK: 4 NOTE: 2 ERROR: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 12 2024 |
R-4.5-win | NOTE | Oct 12 2024 |
R-4.5-linux | NOTE | Oct 12 2024 |
R-4.4-win | OK | Oct 12 2024 |
R-4.4-mac | OK | Oct 12 2024 |
R-4.3-win | OK | Oct 12 2024 |
R-4.3-mac | ERROR | Oct 12 2024 |
Exports:diffQdiffQ2mcaPeaksmcaSmootherMFIerror
Dependencies:base64encbslibcachemchipPCRclicommonmarkcrayonDEoptimRdigestfastmapfontawesomefsgluehtmltoolshttpuvjquerylibjsonlitelaterlatticelifecyclelmtestmagrittrMASSMatrixMatrixModelsmemoisemimeoutlierspromisesptwquantregR6rappdirsRcppRcppArmadilloRcppDERfitrlangrobustbasesassshinysignalsourcetoolsSparseMsurvivalwithrxtablezoo