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Torben Kimhofer's Projects

bconvert icon bconvert

Bruker ms file conversion with baftosql linux docker

camcheck icon camcheck

RaspberryPi home camera system incl. email altert

cleansing icon cleansing

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

concentr8r icon 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

devium icon devium

Dynamic Multivariate Data Analysis and Visualization Platform

drake icon drake

An R-focused pipeline toolkit for reproducibility and high-performance computing

jekyll icon jekyll

:globe_with_meridians: Jekyll is a blog-aware static site generator in Ruby

jres icon jres

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

jres_cnn icon 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

metabom8 icon 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.

ms_pipe icon ms_pipe

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

msbrowser icon msbrowser

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

msfileparserapp icon msfileparserapp

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

nmralter8r icon 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

npyc-toolbox icon npyc-toolbox

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

opls icon 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.

pkgdown icon pkgdown

Generate static html documentation for an R package

py_timeseries icon py_timeseries

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

pym8 icon 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).

pyms icon 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)

qnmr icon 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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