SciWIn Client Demo

A basic Workflow using SciWIn Client (s4n) can be created with the commands hereafter. This guide assumes the usage of unix based operating systems, however Windows should work, too. If not please open an issue.

Installation

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📄 Generalizable machine learning models for rapid antimicrobial resistance prediction in unseen healthcare settings

This repository contains the code used for the experiments in the paper:

Generalizable machine learning models for rapid antimicrobial resistance prediction in unseen healthcare settings by Diane Duroux, Paul P. Meyer, Giovanni Visonà, and Niko Beerenwinkel.

⚙️ Install the dependencies

Clone the repository, unzip OriginalData.zip, and install the necessary dependencies ...

Based on the Tail analysis workflow at https://git.embl.org/grp-cba/tail-analysis/-/blob/main/analysis_workflow.md

DUNE: Deep feature extraction by UNet-based Neuroimaging-oriented autoEncoder

A versatile neuroimaging encoder that captures brain complexity across multiple diseases: cancer, dementia and schizophrenia.

Overview

DUNE (Deep feature extraction by UNet-based Neuroimaging-oriented autoEncoder) is a neuroimaging-oriented deep learning model designed to extract deep features from multisequence brain MRIs, enabling their processing by basic machine learning algorithms. This project provides an ...

CryoDataBot

CryoDataBot is an automated pipeline designed to streamline dataset generation for cryogenic electron microscopy (cryoEM)-based atomic model building. It supports large-scale AI training and benchmarking by providing standardized tools for data retrieval, preprocessing, labeling, and quality control. CryoDataBot enables flexible configurations for diverse biomolecular structures, improves modeling reproducibility, and facilitates retraining of AI models such as U-Net and CryoREAD. ...

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This workflow extracts protein-coding sequences from whole genome sequencing (WGS) data obtained from the European Nucleotide Archive (ENA). It automates the preprocessing, annotation, and selection of relevant protein sequences using tools such as Prokka, FASTA-to-Tabular, and pattern-based selection. The resulting dataset supports downstream analyses including comparative genomics, phylogenetics, and functional annotation.

GenErode pipeline

GitHub repository for GenErode, a Snakemake workflow for the analysis of whole-genome sequencing data from historical and modern samples to study patterns of genome erosion.

Documentation

The full pipeline documentation can be found on the repository wiki.

Citation

If you've ...

Automated image processing from movies to 3D reconstruction. Includes CTF estimation, quality filters, box size estimation, picking model training, three 2D classification jobs (25k, 50k, and 100k particles), and 3D processing of the first 200k particles. Multiple 3D models are generated without symmetry, with automatic 2D and 3D class selection, using Relion.