patRoon - Workflows for Mass-Spectrometry Based Non-Target Analysis
Provides an easy-to-use interface to a mass spectrometry based non-target analysis workflow. Various (open-source) tools are combined which provide algorithms for extraction and grouping of features, extraction of MS and MS/MS data, automatic formula and compound annotation and grouping related features to components. In addition, various tools are provided for e.g. data preparation and cleanup, plotting results and automatic reporting.
Last updated 16 hours ago
mass-spectrometrynon-target
6.16 score 64 stars 35 scriptsqlcMatrix - Utility Sparse Matrix Functions for Quantitative Language Comparison
Extension of the functionality of the 'Matrix' package for using sparse matrices. Some of the functions are very general, while other are highly specific for special data format as used for quantitative language comparison.
Last updated 5 months ago
7.11 score 6 stars 1 packages 256 scripts 1.9k downloadsRAMClustR - Mass Spectrometry Metabolomics Feature Clustering and Interpretation
A feature clustering algorithm for non-targeted mass spectrometric metabolomics data. This method is compatible with gas and liquid chromatography coupled mass spectrometry, including indiscriminant tandem mass spectrometry data <DOI: 10.1021/ac501530d>.
Last updated 1 years ago
massspectrometrymetabolomics
6.86 score 12 stars 20 scripts 313 downloadssplashR - splashR - package to create hashes for spectra
This package allows the calculation of spectral hashes.
Last updated 3 years ago
4.71 score 23 stars 56 scriptsRDCOMClient - R-DCOM client
Provides dynamic client-side access to (D)COM applications from within R.
Last updated 1 years ago
3.86 score 290 scriptsfastAdaboost - a Fast Implementation of Adaboost
Implements Adaboost based on C++ backend code. This is blazingly fast and especially useful for large, in memory data sets. The package uses decision trees as weak classifiers. Once the classifiers have been trained, they can be used to predict new data. Currently, we support only binary classification tasks. The package implements the Adaboost.M1 algorithm and the real Adaboost(SAMME.R) algorithm.
Last updated 9 years ago
3.85 score 11 stars 128 scripts 31 downloadscliqueMS - Annotation of Isotopes, Adducts and Fragmentation Adducts for in-Source LC/MS Metabolomics Data
Annotates data from liquid chromatography coupled to mass spectrometry (LC/MS) metabolomics experiments. Based on a network algorithm (O.Senan, A. Aguilar- Mogas, M. Navarro, O. Yanes, R.GuimerĂ and M. Sales-Pardo, Bioinformatics, 35(20), 2019), 'CliqueMS' builds a weighted similarity network where nodes are features and edges are weighted according to the similarity of this features. Then it searches for the most plausible division of the similarity network into cliques (fully connected components). Finally it annotates metabolites within each clique, obtaining for each annotated metabolite the neutral mass and their features, corresponding to isotopes, ionization adducts and fragmentation adducts of that metabolite.
Last updated 2 years ago
metabolomicsmassspectrometrynetworknetworkinference
3.50 score 21 scripts 59 downloadsMetaClean - Detection of Low-Quality Peaks in Untargeted Metabolomics Data
Utilizes 11 peak quality metrics and 8 diverse machine learning algorithms to build a classifier for the automatic assessment of peak integration quality of peaks from untargeted metabolomics analyses. The 11 peak quality metrics were adapted from those defined in the following references: Zhang, W., & Zhao, P.X. (2014) <doi:10.1186/1471-2105-15-S11-S5> Toghi Eshghi, S., Auger, P., & Mathews, W.R. (2018) <doi:10.1186/s12014-018-9209-x>.
Last updated 4 years ago
s4vectorslow-quality-integrationmachine-learningmetabolomics
3.30 score 4 stars 4 scripts 20 downloadsnontarget - Detecting Isotope, Adduct and Homologue Relations in LC-MS Data
Screening a HRMS data set for peaks related by (1) isotope patterns, (2) different adducts of the same molecule and/or (3) homologue series. The resulting isotopic pattern and adduct groups can then be combined to so-called components, with homologue series information attached. Also allows plotting and filtering HRMS data for mass defects, frequent m/z distances and components vs. non-components.
Last updated 3 years ago
2.33 score 3 stars 18 scripts 73 downloadspatRoonInst - Manages 'patRoon' Installations
Installs and updates patRoon and its dependencies.
Last updated 7 months ago
2.30 score 1 scriptsInterpretMSSpectrum - Interpreting High Resolution Mass Spectra
High resolution mass spectrometry yields often large data sets of spectra from compounds which are not present in available libraries. These spectra need to be annotated and interpreted.'InterpretMSSpectrum' provides a set of functions to perform such tasks for Electrospray-Ionization and Atmospheric-Pressure-Chemical-Ionization derived data in positive and negative ionization mode.
Last updated 2 years ago
2.26 score 2 stars 3 packages 8 scripts 356 downloadsenviPick - Peak Picking for High Resolution Mass Spectrometry Data
Sequential partitioning, clustering and peak detection of centroided LC-MS mass spectrometry data (.mzXML). Interactive result and raw data plot.
Last updated 2 years ago
1.60 score 1 stars 3 scripts 71 downloadsnontargetData - Quantized simulation data of isotope pattern centroids
Data sets for isotope pattern grouping of LC-HRMS peaks with package nontarget. Based on a vast set of unique PubChem molecular formulas, quantized (a) m/z, (b) m/z differences, (c) intensity ratios and (d) marker centroids of simulated centroid pairs are listed for different instrument resolutions.
Last updated 10 years ago
1.00 score 1 stars 14 downloads