fiora

Meet FIORA! An in silico fragmentation algorithm designed to predict tandem mass spectra (MS/MS) with high accuracy. Using graph neural networks, FIORA models bond cleavages, fragment intensities, and estimates retention times (RT) and collision cross sections (CCS).

bioinformatics

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50 Stars

9 Forks

50 Watchers

Jupyter Notebook Language

mit License

100 SrcLog Score

Cost to Build

$896.2K

Market Value

$2.52M

How is this calculated?

Growth over time

3 data points · 2026-04-09 → 2026-04-23

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What is the BAMeScience/fiora GitHub project? Description: "Meet FIORA! An in silico fragmentation algorithm designed to predict tandem mass spectra (MS/MS) with high accuracy. Using graph neural networks, FIORA models bond cleavages, fragment intensities, and estimates retention times (RT) and collision cross sections (CCS).". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone fiora

Clone via HTTPS

git clone https://github.com/BAMeScience/fiora.git

Clone via SSH

[email protected]:BAMeScience/fiora.git

Download ZIP

Download master.zip

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