Explore projects
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tothpetroczylab / Picnic
BSD 3-Clause "New" or "Revised" LicensePICNIC (Proteins Involved in CoNdensates In Cells) is machine learning-based model that predicts proteins involved in biomolecular condensates.
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Algebraic Systems Biology / desr
Apache License 2.0A Python library for reducing differential equations and dynamical systems.
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Felix Romer / MasterThesis
Apache License 2.0Place to store the code I used and workflow I used to quantifiativly analyze microscopy data
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rost / sequencing-docker-stacks
BSD 3-Clause "New" or "Revised" Licensemirror of https://github.com/fbnrst/sequencing-docker-stacks to comply with MPI-CBG RDM
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tothpetroczylab / deTEL
Apache License 2.0Updated -
Sbalzarini Lab / Software / Bio-Imaging / MosaicSuite
GNU General Public License v3.0 or laterMosaicSuite is a software for ImageJ/Fiji with image-processing algorithms developed at the MOSAIC group.
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Huch lab / MA02_organoid_droplet_stress
BSD 3-Clause "New" or "Revised" LicenseNapari-stress based image analysis pipeline for measuring physical stress in 68 microscopy recordings of oil droplets embedded in liver organoids.
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Sbalzarini Lab / Software / Machine Learning / PF-SDM
GNU General Public License v3.0 or laterUpdated -
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tothpetroczylab / SHARK
BSD 3-Clause "New" or "Revised" LicenseSimilarity/Homology Assessment by Relating K-mers
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Sbalzarini Lab / Software / Machine Learning / PF-SDM napari plugin
GNU General Public License v3.0 onlyUpdated -
tothpetroczylab / deTELpy
BSD 3-Clause "New" or "Revised" LicensePython package of the deTEL translation error detection pipeline from mass-spectrometry data
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yin / Picnic
BSD 3-Clause "New" or "Revised" LicensePICNIC (Proteins Involved in CoNdensates In Cells) is machine learning-based model that predicts proteins involved in biomolecular condensates.
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Repository containing the scripts used in Iglesias-Artola et al 2024. Quantitative imaging of species-specific lipid transport in mammalian cells
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Sbalzarini Lab / LpAdaptation python
MIT LicenseUpdated