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Swiss federal institute of technology in Zurich
- 47N 008E
- https://fgcz.ch/compms
- @hb9feb@fosstodon.org
- in/cpanse
- https://orcid.org/0000-0003-1975-3064
Highlights
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Stars
Python library for processing (tandem) mass spectrometry data and for computing spectral similarities.
An extremely fast Python package and project manager, written in Rust.
Process and Visualize Mass-Spectrometry Imaging (MSI) data
An open-source Python package to unify raw MS data accession and storage.
cpanse / rawrr
Forked from fgcz/rawrrComputational analysis of raw-formatted mass spectrometry data in R. Brings your Orbitrap data to life!
a streamlining post Spectronaut™ DIA-MS data analysis R package
An application for dorsal fin image recognition and cataloguing
FastAPI framework, high performance, easy to learn, fast to code, ready for production
🐚 Python-powered shell. Full-featured and cross-platform.
A cross-platform, OpenGL terminal emulator.
Train-the-trainer handbook for making training materials FAIR
hechth / xcalibur-sld
Forked from princelab/xcalibur-sldReads Thermo SLD (sequence) files that contain the information about the sequence of mass spectrometry runs.
Open source code for AlphaFold 2.
The presentation layer of the QSample project, built with AngularJS. Designed to function as a submodule within the QSample Server repository, it does not require standalone installation. Follow th…
Proteomics search & quantification so fast that it feels like magic
Python package to create multi-well plate layouts for specimen sample data. Automatically distributes quality control samples according to scheme in config file.
QuPath - Open-source bioimage analysis for research
Inspired by @veltman's command-line mystery, use SQL to research clues and find out whodunit!
Interactive data visualizations and plotting in Julia
A new markup-based typesetting system that is powerful and easy to learn.
An modular and extensible app for visualization of mass spectrometry data and optimization of data acquisition.
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.