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.
Package details |
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Author | Nir Shahaf |
Maintainer | Nir Shahaf <metaboaa@weizmann.ac.il> |
License | CC BY-NC-ND (>= 4) |
Version | 1.0.1 |
URL | https://github.com/AharoniLab/MatchWeiz |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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