The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
An implementation of the data processing and data analysis portion of a pipeline named the PepSAVI-MS which is currently under development by the Hicks laboratory at the University of North Carolina. The statistical analysis package presented herein provides a collection of software tools used to facilitate the prioritization of putative bioactive peptides from a complex biological matrix. Tools are provided to deconvolute mass spectrometry features into a single representation for each peptide charge state, filter compounds to include only those possibly contributing to the observed bioactivity, and prioritize these remaining compounds for those most likely contributing to each bioactivity data set.
Version: | 0.9.1 |
Depends: | R (≥ 3.0.0) |
Imports: | elasticnet |
Suggests: | testthat, knitr |
Published: | 2016-12-17 |
DOI: | 10.32614/CRAN.package.PepSAVIms |
Author: | Pritchard David [aut, cre], Kirkpatrick Christine [aut] |
Maintainer: | Pritchard David <dpritch at live.unc.edu> |
BugReports: | https://github.com/dpritchLibre/PepSAVIms/issues |
License: | CC BY-NC-SA 4.0 |
URL: | https://github.com/dpritchLibre/PepSAVIms |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | PepSAVIms results |
Reference manual: | PepSAVIms.pdf |
Vignettes: |
Kirkpatrick et al. (2016) data analysis PepSAVIms introduction |
Package source: | PepSAVIms_0.9.1.tar.gz |
Windows binaries: | r-devel: PepSAVIms_0.9.1.zip, r-release: PepSAVIms_0.9.1.zip, r-oldrel: PepSAVIms_0.9.1.zip |
macOS binaries: | r-release (arm64): PepSAVIms_0.9.1.tgz, r-oldrel (arm64): PepSAVIms_0.9.1.tgz, r-release (x86_64): PepSAVIms_0.9.1.tgz, r-oldrel (x86_64): PepSAVIms_0.9.1.tgz |
Old sources: | PepSAVIms archive |
Please use the canonical form https://CRAN.R-project.org/package=PepSAVIms to link to this page.
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.
Health stats visible at Monitor.