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PepSAVIms  

PepSAVI-MS Data Analysis
View on CRAN: Click here


Download and install PepSAVIms package within the R console
Install from CRAN:
install.packages("PepSAVIms")

Install from Github:
library("remotes")
install_github("cran/PepSAVIms")

Install by package version:
library("remotes")
install_version("PepSAVIms", "0.9.1")



Attach the package and use:
library("PepSAVIms")
Maintained by
Pritchard David
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-03
Latest Update: 2016-12-17
Description:
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.
How to cite:
Pritchard David (2016). PepSAVIms: PepSAVI-MS Data Analysis. R package version 0.9.1, https://cran.r-project.org/web/packages/PepSAVIms
Previous versions and publish date:
0.9.0 (2016-12-03 01:34)
Other packages that cited PepSAVIms R package
View PepSAVIms citation profile
Other R packages that PepSAVIms depends, imports, suggests or enhances
Functions, R codes and Examples using the PepSAVIms R package
Some associated functions: binMS . bioact . extractMS . extract_ranked . filterMS . mass_spec . msDat . print.filterMS . print.msDat . print.rankEN . rankEN . summary.binMS . summary.filterMS . summary.rankEN . 
Some associated R codes: BinMS-Helper.R . BinMS.R . Extract_Var.R . FilterMS-Helper.R . FilterMS.R . MsDat-API.R . MsDat-Helper.R . MsDat.R . RankEN-Helper.R . RankEN.R . Utility-Formatting.R . data.R .  Full PepSAVIms package functions and examples
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