AsaphA/matchWeiz: MS reference library creation supporting multi-modular compound annotation
Version 1.0.1

A framework for creating MS libraries based on high resolution LC-MS data. The process depends upon preprocessed output from the xcms/CAMERA packages. It also relies on data from a predefined mix of chemical standards that were injected with the biological samples. The runMatchWeiz function applies a multi-modular annotation algorithm in order to match experimental data with the generated MS library.

Getting started

Package details

AuthorNir Shahaf
MaintainerNir Shahaf <[email protected]>
LicenseCC BY-NC-ND (>= 4)
Version1.0.1
URL https://github.com/AharoniLab/MatchWeiz
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("AsaphA/matchWeiz")
AsaphA/matchWeiz documentation built on May 28, 2017, 5:55 p.m.