Closed mmulvahill closed 5 years ago
Package Name | Authors | Description |
---|---|---|
biosigner | Philippe Rinaudo Etienne Thevenot | Signature discovery from omics data |
CAMERA | Steffen Neumann | Collection of annotation related methods for mass spectrometry data |
cosmiq | David Fischer Christian Panse | cosmiq - COmbining Single Masses Into Quantities |
IPO | Thomas Riebenbauer | Automated Optimization of XCMS Data Processing parameters |
MAIT | Francesc Fernandez-Albert | Statistical Analysis of Metabolomic Data |
Metab | Raphael Aggio | Metab: An R Package for a High-Throughput Analysis of Metabolomics Data Generated by GC-MS. |
metabomxtr | Michael Nodzenski | A package to run mixture models for truncated metabolomics data with normal or lognormal distributions |
metaMS | Ron Wehrens | MS-based metabolomics annotation pipeline |
MetCirc | Thomas Naake | Navigating mass spectral similarity in high-resolution MS/MS metabolomics data |
MWASTools | Andrea Rodriguez-Martinez Rafael Ayala | MWASTools: an integrated pipeline to perform metabolome-wide association studies |
mzR | Bernd Fischer Steffen Neumann Laurent Gatto Qiang Kou | parser for netCDF mzXML mzData and mzML and mzIdentML files (mass spectrometry data) |
OmicsMarkeR | Charles E. Determan Jr. | Classification and Feature Selection for 'Omics' Datasets |
PAPi | Raphael Aggio | Predict metabolic pathway activity based on metabolomics data |
pathview | Weijun Luo | a tool set for pathway based data integration and visualization |
Rdisop | Steffen Neumann | Decomposition of Isotopic Patterns |
RMassBank | RMassBank at Eawag | Workflow to process tandem MS files and build MassBank records |
ropls | Etienne A. Thevenot | PCA PLS(-DA) and OPLS(-DA) for multivariate analysis and feature selection of omics data |
SIMAT | Mo R. Nezami Ranjbar | GC-SIM-MS data processing and alaysis tool |
statTarget | Hemi Luan | Statistical Analysis of Metabolite Profile |
xcms | Steffen Neumann | LC/MS and GC/MS Data Analysis |
yamss | Leslie Myint | Tools for high-throughput metabolomics |
The xcms package (actually xcms3 now) has promising ideas for incorporation with bioconductor.
- Make use and extend classes defined in the MSnbase package.
- Implement class versioning (Biobase’s Versioned class).
- Use BiocParallel for parallel processing.
from the xcmsPreprocess vignette -- what are these file formats:
AIA/ANDI format NetCDF, mzXML, and mzData files Should know this before fixing
readdata()
...
Next question to get answered — what in-data format do we want? Do any of these MSnbase formats apply?
We agreed to submit to CRAN and if possible rOpenSci instead of Bioconductor -- none of our statisticians use enough of the Bioconductor infrastructure to make it worth the effort to add support for the necessary S4 classes.