Timo Sachsenberg (timosachsenberg)

timosachsenberg

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Timo Sachsenberg's repositories

AutoRT

AutoRT: Peptide retention time prediction using deep learning

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autowrap-feedstock

A conda-smithy repository for autowrap.

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Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

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Bachelor-Thesis

My bachelor thesis on "Semi-supervised learning for nucleic acid cross-linking mass spectrometry".

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bioconda-recipes

Conda recipes for the bioconda channel.

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container-pwiz

The ProteoWizard Library and Tools are a set of modular and extensible open-source, cross-platform tools and software libraries that facilitate proteomics data analysis, developed by the Proteowizard Team at http://proteowizard.sourceforge.net/. This repository contains the Docker image to convert from many vendor raw data formats to mzML via Linux WINE.

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containers-rules-manuscript

Recommendations to contenarized your bioinformatics software

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contrib

The OpenMS contrib libraries

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cpp_code_snippets

Advanced C++ By Example course. Currently in developemnt.

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CTDopts

Gives your command-line tools a CTD-compatible interface

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DiaNN

DIA-NN - a fast and easy to use tool for processing data-independent acquisition (DIA) proteomics data

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DivideMix

Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

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dockerfiles

This repository holds Dockerfiles for creating docker images for several OpenMS configurations based on different base images.

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GSoC

OBF Google Summer of Code

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iwc

Intergalactic Workflow Commission

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mzTab

mzTab Reporting MS-based Proteomics and Metabolomics Results

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OpenMS

The codebase of the OpenMS project

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PeptideProphetLibrary

Runs the PeptideProphet algorithm against SEQUEST _syn.txt files

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proteomics-metadata-standard

The Proteomics Experimental Design file format: Standard for experimental design annotation

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psi-ms-CV

HUPO-PSI mass spectrometry CV

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pyopenmspandas

Improve integration of pyopenms with pandas

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sl-nuxl

Streamlit repository for NuXL

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specpride

Analysis of different consensus spectrum construction methods

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