xMSanalyzer-package: xMSanalyzer
In yufree/xMSanalyzer: xMSanalyzer: R package for data analysis, comparison, and annotation of metabolomics data.
Description
Details
Author(s)
References
Description
Set of utilities for improved feature detection, quality assessment, overlap
analysis, and batch annotation of metabolomics data.
Details
Package: xMSanalyzer
Type: Package
Version:
2.0.6.1
Date: 2015-5-21
License: gpl2.0
LazyLoad:
yes
Author(s)
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.
yufree/xMSanalyzer documentation built on May 4, 2019, 6:35 p.m.
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Description Details Author(s) References
Description
Set of utilities for improved feature detection, quality assessment, overlap analysis, and batch annotation of metabolomics data.
Details
| Package: | xMSanalyzer |
| Type: | Package |
| Version: | 2.0.6.1 |
| Date: | 2015-5-21 |
| License: | gpl2.0 |
| LazyLoad: | yes |
Author(s)
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.
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