Torben Kimhofer's repositories

msbrowser

An RShiny dashboard for visualisation of mass spectrometry (MS) data and fine-tuning of xcms pre-processing parameters

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metabom8

R library for NMR/MS analyses. Workflow includes NMR data import & preprocessing, statistical modelling (PCA, O-PLS), met ID-ing, visualisation (ggplot2, plotly).. Critical functions implemented in C++ using linear algebra packages (Armadillo, Eigen) to improve run-time.

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opls

Collection of modelling algorithms for NMR & MS data, including principal components analysis (PLS), (orthogonal) partial least squares (O-PLS, PLS), non-negative least squares regression (NNLSQ). Included are model visualisations based on matplotlib.

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jres_cnn

Web-application for 2D NMR peak picking and result visualisation using a Laplacian of Gaussian (LoG) and deep learning (TF Keras) approach - currently under development

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Py_TimeSeries

Registration website for event: Time Series with Python (Statistical Society of Australia)

qNMR

XML parser to collect NMR quantification data from Bruker B.I. methods (lipoprotein or metabolite concentrations generated with IVDr experiments)

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bconvert

Bruker ms file conversion with baftosql linux docker

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BTSimilarity_FastDBSearch

Fast spectral similarity matching based on binary tree distances (Python implementation)

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camcheck

RaspberryPi home camera system incl. email altert

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MSFileParserApp

Python dashboard for parsing targeted MS files (Skyline) into 2D matrix format, using gunicorn as WSGI server.

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pym8

Python version of metabom8 (pronounced "py-mate") for NMR data import and and pre-processing. Significant run time improvements due to parallelisation of selected functions, interactive graphics (matplotlib, plotly).

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trp_tq

Targeted MS: Peak deconvolution based on iterative least squares using log-normal distribution and limited-BFGS optimiser (tensorflow, scipy). De-noising and chromatogram consensus peak modelling using autoencoders (tensorflow). Interactive graphics for the identification of the optimal surrogate internal standard.

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cleansing

R library for cleaning survey data and automate calculation of univariate summary statistics (formatted as HTML table).

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concentr8r

Student project supervision in NMR-based metabolomics: Addressing NMR signal to noise variability of urine samples by adjusting the number of scans at data acquisition stage

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jres

R library for reading and visualising J-resolved NMR experiments - spectral import and preprocessing, Rcpp

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ml-cheatsheet

Machine learning cheatsheet

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ms_pipe

Untargeted LC/GC-MS data processing using xcms (R)

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nmr_bulkmag_vizualisation

Teaching - 1D NMR pulse & FID record w two detectors (3D animation, web-link in repo)

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NMRalter8r

Student project supervision in NMR-based metabolomics: Addressing NMR signal to noise variability of urine samples by adjusting acquisition parameters using the Jython API of TopSpin

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nPYc-Toolbox

The nPYc-Toolbox defines objects for representing, and implements functions to manipulate and display, metabolic profiling datasets.

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pkgdown

Generate static html documentation for an R package

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pyms

Python dashboard for mass spectrometry data visualisations: Data import with a Docker image (intel), chromatogram de-noising (autoencoder, Tensorflow), LC-MS feature detection with a nearest neighbour clustering approach (dbscan, scikit-learn)

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shiny.semantic

Shiny support for powerful Semantic UI library.

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shinyproxy-config-examples

Configuration examples for ShinyProxy

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trp_ms

Data import and QC check for targeted LC-MS assays

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tutoral

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