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CBA / astrocyte-differentiations
MIT LicenseAlina Ritz- Heard Group;
Christian Tischer, Arif Khan - CBA;
Nextflow, python, nuclear cytoplasmic intensity measurements, MoBIE;
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This source code extracts distributions of nups inside core and non-core regions; and was developed to quantify different nups for the manuscript below: Otsuka "A quantitative map of nuclear pore assembly reveals two distinct mechanisms"
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Jean-Karim Heriche / minflux-npc
MIT LicenseUpdated -
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Bartosz Jan Bartmanski / PoolingScheme
MIT LicenseUpdated -
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Martin Larralde / NAFcodec
MIT LicenseRust coder/decoder for Nucleotide Archive Format (NAF) files.
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Marco Raffaele Cosenza / magic_automation
MIT LicenseUpdated -
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Marco Raffaele Cosenza / strandtools
MIT LicenseUpdated -
Martin Larralde / IGUA
GNU General Public License v3.0 onlyIterative Gene clUster Analysis, a high-throughput method for gene cluster family identification.
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CBA / yeast-colocalization-tracking
MIT LicenseLucas Alfredo Defelipe, Maria Garcia - EMBL Hamburg;
Christian Tischer, Arif Khan - Data Science, EMBL Heidelberg;
Ziqiang Huang - IC LM, EMBL Heidelberg.
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Francesco Tabaro / TESK Core
Apache License 2.0Updated -
CBA / trans-well-invasion
MIT LicenseCornelius Pauli - Frye Lab, DKFZ Heidelberg;
Christian Tischer - BAST
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Ivo Fierro Monti / pLM_linked_to_ML_Classifier_script
MIT No AttributionThis script implements a machine learning pipeline that integrates the ESM2 transformer-based protein model with a Logistic Regression classifier to predict the detectability of microprotein sequences by Mass Spectrometry. The script preprocesses data, extracts embeddings from sequences, performs feature selection, trains a logistic regression model, and evaluates its performance using multiple metrics.
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Source code related to the publication "Visualization of loop extrusion by DNA nanoscale tracing in single human cells" by Beckwith, Ødegård-Fougner et.al. DOI: https://doi.org/10.1101/2021.04.12.439407
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Miranda Ackerman Eduardo Jacobo / blog
MIT LicenseThis project aims to offer a platform for sharing ideas, resources, tools & techniques, interesting publications, interviews and stories from all our community members. https://grp-bio-it.embl-community.io/blog/
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