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Bio-Layer Interferometry (BLI) is a technology to determine the binding kinetics between biomolecules. BLI signals are small and noisy when small molecules are investigated as ligands (analytes). We develop this package to process and analyze the BLI data acquired on Octet Red96 from Fortebio more accurately. Sun Q., Li X., et al (2020) <doi:10.1038/s41467-019-14238-3>. In this new version, we organize the BLI experiment data and analysis methods into a S4 class with self-explaining structure.
| Version: | 2.0.1 |
| Depends: | R (≥ 3.5.0), methods, graphics, grDevices, stats, utils |
| Imports: | Rdpack |
| Published: | 2024-03-10 |
| DOI: | 10.32614/CRAN.package.smoke |
| Author: | Qingan Sun, Xiaojun Li, James C Sacchettini |
| Maintainer: | Qingan Sun <quinsun at gmail.com> |
| License: | GPL-2 | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | smoke results |
| Reference manual: | smoke.pdf |
| Package source: | smoke_2.0.1.tar.gz |
| Windows binaries: | r-devel: smoke_2.0.1.zip, r-release: smoke_2.0.1.zip, r-oldrel: smoke_2.0.1.zip |
| macOS binaries: | r-release (arm64): smoke_2.0.1.tgz, r-oldrel (arm64): smoke_2.0.1.tgz, r-release (x86_64): smoke_2.0.1.tgz, r-oldrel (x86_64): smoke_2.0.1.tgz |
| Old sources: | smoke 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.