R/xMSanalyzer-package.R

#' xMSanalyzer
#' 
#' Set of utilities for improved feature detection, quality assessment, overlap
#' analysis, and batch annotation of metabolomics data.
#' 
#' \tabular{ll}{ Package: \tab xMSanalyzer\cr Type: \tab Package\cr Version:
#' \tab 2.0.6.1\cr Date: \tab 2015-5-21\cr License: \tab gpl2.0\cr LazyLoad:
#' \tab yes\cr }
#' 
#' @name xMSanalyzer-package
#' @aliases xMSanalyzer-package xMSanalyzer
#' @docType package
#' @author Karan Uppal Maintainer: <kuppal2@@emory.edu>
#' @references Literature or other references for background information Uppal
#' et. al. xMSanalyzer: automated pipeline for improved feature detection and
#' downstream analysis of large-scale, non-targeted metabolomics data, BMC
#' Bioinformatics, 2013 Tianwei Yu. apLCMS - Adaptive Processing of
#' High-Resolution LC/MS Data. Bioinformatics. 2009.  C.A. Smith, E.J. Want,
#' G.C. Tong, R. Abagyan, and G. Siuzdak. XCMS: Processing Mass Spectrometry
#' Data for Metabolite Profiling Using Nonlinear Peak Alignment, Matching, and
#' Identification. Analytical Chemistry, 2006. Tautenhahn R, B<f6>ttcher C,
#' Neumann S. Highly sensitive feature detection for high resolution LC/MS.
#' BMC Bioinformatics. 2008 Nov 28.
#' @keywords xMSanalyzer
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yufree/xMSanalyzer documentation built on May 4, 2019, 6:35 p.m.