caetera
Staff scientist at the Protein Research Group at the University of Southern Denmark working mostly in proteomics
Pinned Repositories
AddModSeq
Convert sequences in Proteome Discoverer report to unified modX format
AgNPCorona
bioconda-recipes
Conda recipes for the bioconda channel.
DeepLC
DeepLC: Retention time prediction for (modified) peptides using Deep Learning.
diffacto
FlashIDA
Intelligent Data Acquisition for Top-down proteomics on Thermo tribrid platform
libmzdb
A C library for reading mzDB files
ms1searchpy
SuperQuantNode
Complementary Finder and MSn deconvolution processing nodes for Thermo Proteome Discoverer 2.x.
caetera's Repositories
caetera/FlashIDA
Intelligent Data Acquisition for Top-down proteomics on Thermo tribrid platform
caetera/SuperQuantNode
Complementary Finder and MSn deconvolution processing nodes for Thermo Proteome Discoverer 2.x.
caetera/AddModSeq
Convert sequences in Proteome Discoverer report to unified modX format
caetera/AgNPCorona
caetera/bioconda-recipes
Conda recipes for the bioconda channel.
caetera/DeepLC
DeepLC: Retention time prediction for (modified) peptides using Deep Learning.
caetera/diffacto
caetera/libmzdb
A C library for reading mzDB files
caetera/ms1searchpy
caetera/pymzML
pymzML - an interface between Python and mzML Mass spectrometry Files
caetera/pyteomics
Pyteomics is a collection of lightweight and handy tools for Python that help to handle various sorts of proteomics data. Pyteomics provides a growing set of modules to facilitate the most common tasks in proteomics data analysis.
caetera/RawMetaData
caetera/ThermoRawFileParser
Thermo RAW file parser that runs on Linux with mono