sneumann/RAMClustR: RAMClust: a novel feature clustering method enables spectral-matching based annotation for metabolomics data

A feature clustering algorithm for non-targeted mass spectrometric metabolomics data, where feature detection is performed on both MS and idMS/MS(indiscriminant MS/MS) data, and feature relationships are determined simultaneously from the MS and idMS/MS data.

Getting started

Package details

AuthorCorey D. Broeckling, Fayyaz Afsar, Steffan Neumann, Asa Ben-Hur, Jessica Prenni.
Bioconductor views MassSpectrometry Metabolomics
Maintainer"Broeckling,Corey" <Corey.Broeckling@ColoState.EDU>
LicenseGPL (>= 2)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
sneumann/RAMClustR documentation built on May 30, 2019, 5:05 a.m.