matchWeiz-package: MatchWeiz: a package for building MS libraries and annotating...
In AsaphA/matchWeiz: MS reference library creation supporting multi-modular compound annotation
Description
The package provides two major functionalities:
Building MS libraries using high resolution LC-MS data of authentic chemical standards
and matching of high resolution LC-MS features to the generated MS library.
Details
Index:
1
2
3
4
5
buildMSlib Create a new MS reference library
runMatchWeiz Run multi-modular annotation on a list of features
summarizeMMresults Convert annotation results into delimited text format
tryMSlib An example MS library, in two ionization modes
rtReftables Retention time reference compounds data, in two ionization modes
A typical workflow would start with generating an MS reference library using the buildMSlib function. Next, a peak list containing high resolution LC-MS data of a biological sample of interest will be given as input to runMatchWeiz which will generate RData annotation files for each MS ionization mode. Finally, the annotation files should be converted into tab delimited text tables containing putative hits.
Author(s)
Nir Shahaf [aut, cre]
Maintainer: MetaboAA <metaboaa@weizmann.ac.il>
AsaphA/matchWeiz documentation built on May 5, 2019, 8:12 a.m.
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Description
The package provides two major functionalities: Building MS libraries using high resolution LC-MS data of authentic chemical standards and matching of high resolution LC-MS features to the generated MS library.
Details
Index:
1 2 3 4 5 | buildMSlib Create a new MS reference library
runMatchWeiz Run multi-modular annotation on a list of features
summarizeMMresults Convert annotation results into delimited text format
tryMSlib An example MS library, in two ionization modes
rtReftables Retention time reference compounds data, in two ionization modes
|
A typical workflow would start with generating an MS reference library using the buildMSlib function. Next, a peak list containing high resolution LC-MS data of a biological sample of interest will be given as input to runMatchWeiz which will generate RData annotation files for each MS ionization mode. Finally, the annotation files should be converted into tab delimited text tables containing putative hits.
Author(s)
Nir Shahaf [aut, cre] Maintainer: MetaboAA <metaboaa@weizmann.ac.il>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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