Training

Friends Don't Let Friends Make Bad Graphs

Visualisations in Galaxy

Visualisation with Circos

Ploting a Microbial Genome with Circos

Working with Beacon V2: A Comprehensive Guide to Creating, Uploading, and Searching for Variants with Beacons

Querying the University of Bradford GDC Beacon Database for Copy Number Variants (CNVs)

Calling variants in non-diploid systems

Trio Analysis using Synthetic Datasets from RD-Connect GPAP

Exome sequencing data analysis for diagnosing a genetic disease

Deciphering Virus Populations - Single Nucleotide Variants (SNVs) and Specificities in Baculovirus Isolates

Mapping and molecular identification of phenotype-causing mutations

Somatic Variant Discovery from WES Data Using Control-FREEC

Calling variants in diploid systems

Identification of somatic and germline variants from tumor and normal sample pairs

Calling very rare variants

Introduction to Variant analysis

De novo transcriptome reconstruction with RNA-Seq

Pathway analysis with the MINERVA Platform

Reference-based RNA-Seq data analysis

RNA-seq Alignment with STAR

RNA Seq Counts to Viz in R

Reference-based RNAseq data analysis (long)

Visualization of RNA-Seq results with Volcano Plot in R

Introduction to Transcriptomics

RNA-Seq analysis with AskOmics Interactive Tool

Visualization of RNA-Seq results with CummeRbund

CLIP-Seq data analysis from pre-processing to motif detection

Small Non-coding RNA Clustering using BlockClust

RNA-RNA interactome data analysis

1: RNA-Seq reads to counts

De novo transcriptome assembly, annotation, and differential expression analysis

Visualization of RNA-Seq results with heatmap2

RNA-Seq data analysis, clustering and visualisation tutorial

GO Enrichment Analysis

3: RNA-seq genes to pathways

2: RNA-seq counts to genes

Differential abundance testing of small RNAs

Visualization of RNA-Seq results with Volcano Plot

Network analysis with Heinz

Genome-wide alternative splicing analysis

Galaxy Admin Training

Teaching online

Live Coding is a Skill

Course Builder

Organizing a workshop

Set up a Galaxy for Training

Training Infrastructure as a Service

Asynchronous training

Running a workshop as an instructor

Teaching experiences

Hybrid training

Overview of the Galaxy Training Material for Instructors

Workshop Kickoff

Designing plasmids encoding predicted pathways by using the BASIC assembly method

Evaluating and ranking a set of pathways based on multiple metrics

Generating theoretical possible pathways for the production of Lycopene in E.Coli using Retrosynthesis tools

Supervised Learning with Hyperdimensional Computing

Introduction to Machine Learning using R

Fine tune large protein model (ProtTrans) using HuggingFace

Prepare Data from CbioPortal for Flexynesis Integration

Train and Test a Deep learning image classifier with Galaxy-Ludwig

Deep Learning (Part 1) - Feedforward neural networks (FNN)

Deep Learning (Part 3) - Convolutional neural networks (CNN)

Gleam Multimodal Learner - Head and Neck cancer Recurrence Prediction with HANCOCK

Deep Learning (Part 2) - Recurrent neural networks (RNN)

Modeling Breast Cancer Subtypes with Flexynesis

Interval-Wise Testing for omics data

Image classification in Galaxy with fruit 360 dataset

Identifing Survival Markers of Brain tumor with Flexynesis

PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis

Classification in Machine Learning

Introduction to deep learning

Basics of machine learning

Unsupervised Analysis of Bone Marrow Cells with Flexynesis

Regression in Machine Learning

Text-mining with the SimText toolset

GLEAM Image Learner - Validating Skin Lesion Classification on HAM10000

Age prediction using machine learning

Galaxy Tabular Learner - Building a Model using Chowell clinical data

A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy

Clustering in Machine Learning

Machine learning: classification and regression

Automated Cell Annotation

Trajectory analysis

Bulk matrix to ESet | Creating the bulk RNA-seq dataset for deconvolution

Inferring single cell trajectories with Monocle3

Inferring single cell trajectories with Monocle3 (R)

Single-cell Formats and Resources

Matrix Exchange Format to ESet | Creating a single-cell RNA-seq reference dataset for deconvolution

Inferring single cell trajectories with Scanpy

Inferring single cell trajectories with Scanpy (Python)

Plates, Batches, and Barcodes

Filter, plot and explore single-cell RNA-seq data with Scanpy

Scanpy Parameter Iterator

Multi-sample batch correction with Harmony and SnapATAC2

Clustering 3K PBMCs with Seurat

Evaluating Reference Data for Bulk RNA Deconvolution

Converting NCBI Data to the AnnData Format

Filter, plot, and explore single cell RNA-seq data with Seurat

Filter, plot and explore single-cell RNA-seq data with Scanpy (Python)

Downstream Single-cell RNA analysis with RaceID

Clustering 3K PBMCs with Scanpy

Importing files from public atlases

Filter, plot, and explore single cell RNA-seq data with Seurat (R)

Combining single cell datasets after pre-processing

Single-cell ATAC-seq standard processing with SnapATAC2

Comparing inferred cell compositions using MuSiC deconvolution

Removing the effects of the cell cycle

Understanding Barcodes

Generating a single cell matrix using Alevin and combining datasets (bash + R)

An introduction to scRNA-seq data analysis

Pre-processing of 10X Single-Cell RNA Datasets

Pre-processing of 10X Single-Cell ATAC-seq Datasets

Pre-processing of Single-Cell RNA Data

Bulk RNA Deconvolution with MuSiC

Converting between common single cell data formats

Pseudobulk Analysis with Decoupler and EdgeR

GO Enrichment Analysis on Single-Cell RNA-Seq Data

Generating a single cell matrix using Alevin

Single-cell quality control with scater

Clean and manage Sanger sequences from raw files to aligned consensus

Quality Control

Quality and contamination control in bacterial isolate using Illumina MiSeq Data

Primer and primer scheme design for pan-specific detection and sequencing of viral pathogens across genotypes

Screening assembled genomes for contamination using NCBI FCS

Mapping

Label-free versus Labelled - How to Choose Your Quantitation Method

Introduction to proteomics, protein identification, quantification and statistical modelling

Neoantigen 1b: Non-Reference-Database-Generation

Library Generation for DIA Analysis

DIA Analysis using OpenSwathWorkflow

metaQuantome 2: Function

Neoantigen 5a: Predicting HLA Binding

Detection and quantitation of N-termini (degradomics) via N-TAILS

Proteogenomics 3: Novel peptide analysis

Protein FASTA Database Handling

Secretome Prediction

Proteogenomics 2: Database Search

MaxQuant and MSstats for the analysis of TMT data

metaQuantome 3: Taxonomy

MaxQuant and MSstats for the analysis of label-free data

Multiomics data analysis using MultiGSEA

Clinical Metaproteomics 5: Data Interpretation

Neoantigen 5b: IEDB binding Validated Neopeptides

Mass spectrometry imaging: Loading and exploring MSI data

Neoantigen 2: Database merge and FragPipe discovery

Neoantigen 3: PepQuery2 Verification

Metaproteomics tutorial

Annotating a protein list identified by LC-MS/MS experiments

Peptide and Protein ID using OpenMS tools

Neoantigen 1a: Fusion-Database-Generation

Clinical Metaproteomics 4: Quantitation

Proteogenomics 1: Database Creation

Single Cell Proteomics data analysis with bioconductor-scp

metaQuantome 1: Data creation

Clinical Metaproteomics 2: Discovery

Peptide and Protein Quantification via Stable Isotope Labelling (SIL)

Neoantigen 4: Variant Annotation

Label-free data analysis using MaxQuant

Clinical Metaproteomics 1: Database-Generation

Machine Learning Modeling of Anticancer Peptides

Biomarker candidate identification

Peptide Library Data Analysis

EncyclopeDIA

Clinical Metaproteomics 3: Verification

Peptide and Protein ID using SearchGUI and PeptideShaker

Statistical analysis of DIA data

Analysis of plant scRNA-Seq Data with Scanpy

NCBI BLAST+ against the MAdLand

Whole transcriptome analysis of Arabidopsis thaliana

Identification and Evolutionary Analysis of Transcription-Associated Proteins in Streptophyte algae and Land plants

Avian influenza viral strain analysis from gene segment sequencing data

M. tuberculosis Variant Analysis

Pox virus genome analysis from tiled-amplicon sequencing data

16S Microbial Analysis with mothur (short)

16S Microbial Analysis with mothur (extended)

QIIME 2 Moving Pictures

QIIME 2 Cancer Microbiome Intervention

Indexing and profiling microbes with MetaSBT

Building and Annotating Metagenome-Assembled Genomes (MAGs) from Short Metagenomics Paired Reads

Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition

Identification of the micro-organisms in a beer using Nanopore sequencing

Query an annotated mobile genetic element database to identify and annotate genetic elements (e.g. plasmids) in metagenomics data

Assembly of metagenomic sequencing data

Clinical Metaproteomics 5: Data Interpretation

Building an amplicon sequence variant (ASV) table from 16S data using DADA2

Metatranscriptomics analysis using microbiome RNA-seq data

Clinical Metaproteomics 4: Quantitation

Remove contamination and host reads

MGnify v5.0 Amplicon Pipeline

Binning of metagenomic sequencing data

16S Microbial analysis with Nanopore data

Clinical Metaproteomics 2: Discovery

Antibiotic resistance detection

Taxonomic Profiling and Visualization of Metagenomic Data

Clinical Metaproteomics 1: Database-Generation

Clinical Metaproteomics 3: Verification

Metatranscriptomics analysis using microbiome RNA-seq data (short)

Identifying Mycorrhizal Fungi from ITS2 sequencing using LotuS2

Calculating α and β diversity from microbiome taxonomic data

Analyses of metagenomics data - The global picture

Introduction to Microbiome Analysis

Mass spectrometry: LC-MS data processing

Mass spectrometry: GC-MS analysis with the metaMS package

Introduction to Metabolomics

Mass spectrometry: LC-MS preprocessing with XCMS

Mass spectrometry: LC-MS analysis

Mass spectrometry imaging: Examining the spatial distribution of analytes

Mass spectrometry: GC-MS data processing (with XCMS, RAMClustR, RIAssigner, and matchms)

Mass spectrometry imaging: Finding differential analytes

Predicting EI+ mass spectra with QCxMS

Molecular formula assignment and mass recalibration with MFAssignR package

Finding the muon stopping site with pymuon-suite in Galaxy

Very Short Introductions: QC

Introduction to Galaxy as an RDM platform

Galaxy Basics for everyone

Galaxy Basics for genomics

A short introduction to Galaxy

Best Practices for Citing Galaxy

IGV Introduction

Upload data to Galaxy

Options for using Galaxy

Introduction to Galaxy

NGS data logistics

Data Manipulation Olympics

How to reproduce published Galaxy analyses

Introduction to Genomics and Galaxy

From peaks to genes

Introduction to Image Analysis using Galaxy

Analyse HeLa fluorescence siRNA screen

Segmentation of Anatomical Structures in Medical 3-D Images

Content Tracking and Verification in Galaxy Workflows with ISCC-SUM

Quantification of single-molecule RNA fluorescence in situ hybridization (smFISH) in yeast cell lines

Execute a BiaPy workflow in Galaxy

Voronoi segmentation

Object tracking using CellProfiler

Overview of the Galaxy OMERO-suite - Upload images and metadata in OMERO using Galaxy

Training Custom YOLO Models for Segmentation of Bioimages

Nucleoli segmentation and feature extraction using CellProfiler

End-to-End Tissue Microarray Image Analysis with Galaxy-ME

Tracking of mitochondria and capturing mitoflashes

Where to start with bioimage analysis in Galaxy

Using BioImage.IO models for image analysis in Galaxy

Parameter tuning and optimization - Evaluating nuclei segmentation with Galaxy

Quantification of electrophoresis gel bands using QuPath and Galaxy imaging tools

Genomic Data Visualisation with JBrowse2

Genomic Data Visualisation with JBrowse

Microbial Variant Calling

CRISPR screen analysis

Long non-coding RNAs (lncRNAs) annotation with FEELnc

Refining Genome Annotations with Apollo (eukaryotes)

Functional annotation of protein sequences

Genome annotation with Maker

Essential genes detection with Transposon insertion sequencing

Genome annotation with Maker (short)

Genome annotation with Funannotate

Comparative gene analysis in unannotated genomes

Genome Annotation

Dataset construction for bacterial comparative genomics

Bacterial genome quality control

Creating an Official Gene Set

Bacterial pangenomics

Introduction to Genome Annotation

Genome annotation with Braker3

Secondary metabolite discovery

Comparison of two annotation tools - Helixer and Braker3

Masking repeats with RepeatMasker

Genome annotation with Helixer

Identification of AMR genes in an assembled bacterial genome

From small to large-scale genome comparison

Bacterial Genome Annotation

Refining Genome Annotations with Apollo (prokaryotes)

Genome annotation with Prokka

Name tags for following complex histories

Using dataset collections

Exporting to Onedata remote

Rule Based Uploader

Extracting Workflows from Histories

Understanding Galaxy history system

Use Jupyter notebooks in Galaxy

Downloading and Deleting Data in Galaxy

RStudio in Galaxy

JupyterLab in Galaxy

Group tags for complex experimental designs

Onedata user-owned storage

Rule Based Uploader: Advanced

Annotate, prepare tests and publish Galaxy workflows in workflow registries

Getting started with Onedata distributed storage

Searching Your History

Importing (uploading) data from Onedata

Creating high resolution images of Galaxy Workflows

Galaxy workflows in Dockstore

Getting data into Galaxy

Creating, Editing and Importing Galaxy Workflows

Workflow Reports

InterMine integration with Galaxy

Using Workflow Parameters

FAIRification of an RNAseq dataset

Persistent Identifiers

REMBI - Recommended Metadata for Biological Images – metadata guidelines for bioimaging data

Submitting workflows to LifeMonitor

FAIR Bioimage Metadata

Access

Best practices for workflows in GitHub repositories

Data Registration

FAIR Galaxy Training Material

Metadata

Exporting Workflow Run RO-Crates from Galaxy

RO-Crate in Python

FAIR data management solutions

DataPLANT ARCs

FAIR in a nutshell

Integrating InvenioRDM-compatible Repositories with Galaxy

Sequence data submission to ENA

RO-Crate - Introduction

FAIR and its Origins

Workflow Run RO-Crate Introduction

Introduction to Data Management Plan (DMP) for Peatland Research and PeatDataHub

Making clinical datasets FAIR

Uploading Data to Zenodo from Galaxy

An earth-system RO-Crate

Data management in Medicinal Chemistry

Phylogenetics - Back to Basics - Phylogenetic Networks

Phylogenetics - Back to Basics - Estimating trees from alignments

Phylogenetics - Back to Basics - Building Trees

Phylogenetics - Back to Basics - Multiple Sequence Alignment

Phylogenetics - Back to Basics - Terminology

Phylogenetic analysis for bacterial comparative genomics

Phylogenetics - Back to Basics - Introduction

Identifying tuberculosis transmission links: from SNPs to transmission clusters

Tree thinking for tuberculosis evolution and epidemiology

Phylogenetics - Back to basics

Introduction to ChIP-Seq data analysis

Introduction to DNA Methylation data analysis

Infinium Human Methylation BeadChip

CUT&RUN data analysis

Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1)

ATAC-Seq data analysis

DNA Methylation data analysis

Hi-C analysis of Drosophila melanogaster cells using HiCExplorer

Identification of the binding sites of the Estrogen receptor

Formation of the Super-Structures on the Inactive X

Regulations/standards for AI using DOME

Optimizing DNA Sequences for Biological Functions using a DNA LLM

Generating Artificial Yeast DNA Sequences using a DNA LLM

Deep Learning (without Generative Artificial Intelligence) using Python

Predicting Mutation Impact with Zero-shot Learning using a pretrained DNA LLM

Neural networks using Python

Fine-tuning a LLM for DNA Sequence Classification

Foundational Aspects of Machine Learning using Python

Pretraining a Large Language Model (LLM) from Scratch on DNA Sequences

Motivation and Demotivation

Training techniques to enhance learner participation and engagement

Train-the-Trainer: putting it all together

Assessment and feedback in training and teachings

Object detection with YOLO

Cleaning GBIF data using OpenRefine

Audio data annotation with NEAL (Nature + Energy Audio labeler)

Visualize EBV cube data with Panoply netCDF viewer

QGIS Web Feature Services

Obis marine indicators

SAM3 – AI-based Semantic Segmentation of marine biodiversity Images and Videos

Creating FAIR Quality assessment reports and draft of Data Papers from EML metadata with MetaShRIMPS

Champs blocs indicators

RAD-Seq de-novo data analysis

Species distribution modeling

Data submission using ENA upload Tool

Visualization of Climate Data using NetCDF xarray Map Plotting

Regional GAM

From NDVI data with OpenEO to time series visualisation with Holoviews

Compute and analyze biodiversity metrics with PAMPA toolsuite

Sentinel 2 biodiversity

RAD-Seq Reference-based data analysis

Ecoregionalization workflow tutorial

Phylodiversity analysis quick tutorial

Taxonomic Analysis of eDNA

Checking expected species and contamination in bacterial isolate

Creating metadata using Ecological Metadata Language (EML) standard with EML Assembly Line functionalities

Preparing genomic data for phylogeny reconstruction

Cleaning GBIF data for the use in Ecology

Metabarcoding/eDNA through Obitools

Marine Omics identifying biosynthetic gene clusters

RAD-Seq to construct genetic maps

Life Traits Ecoregionalization workflow

Biodiversity data exploration

Text-Mining Differences in Chinese Newspaper Articles

OpenRefine Tutorial for researching cultural data

Introduction to Digital Humanities in Galaxy

Transcribing Audio and Video files with Automated Speech Recognition

Galaxy Interactive Tools

Debugging Galaxy

Data source integration

Contributing to BioBlend as a developer

Contributing a New Feature to Galaxy Core

Creating Galaxy tools from Conda Through Deployment

ToolFactory: Generating Tools From More Complex Scripts

Adding and updating best practice metadata for Galaxy tools using the bio.tools registry

nb2workflow: Generating Galaxy Tools From Jupyter Notebooks

Setting up a dev Onedata instance

Writing Automated Tests for Galaxy

Architecture 05 - Galaxy Web Frameworks

Architecture 13 - Galaxy Dependencies Management

Tool Shed: sharing Galaxy tools

Architecture 02 - Galaxy Project Management and Contribution

Architecture 09 - Galaxy Plugin Architecture

Architecture 08 - Galaxy Application Components: Models, Managers, and Services

Architecture 04 - Galaxy Files and Directory Structure

Architecture 15 - Galaxy Production Deployment

Tool development and integration into Galaxy

Architecture 16 - Galaxy Testing

Galaxy Interactive Environments

Galaxy Interactive Tours

Scripting Galaxy using the API and BioBlend

Architecture 12 - Galaxy Client Architecture

Architecture 03 - Galaxy Architecture Principles

Tool Dependencies and Containers

Architecture 07 - Galaxy Task Management with Celery

Galaxy Webhooks

Prerequisites for building software/conda packages

Architecture 01 - Galaxy Ecosystem and Projects

Architecture 11 - Galaxy Markdown Architecture

ToolFactory: Generating Tools From Simple Scripts

Architecture 10 - Galaxy File Sources Architecture

Generic plugins

Architecture 06 - Dependency Injection in Galaxy

Tool Dependencies and Conda

Architecture 14 - Galaxy Startup Process

JavaScript plugins

Python - Multiprocessing

Python - Coding Style

Python - Subprocess

Python - Globbing

Python - Argparse

Python - Type annotations

Python - Testing

Conda Environments For Software Development

Virtual Environments For Software Development

Python - Introductory Graduation

Python - Try & Except

Python - Files & CSV

Versioning your code and data with git

Data manipulation with Pandas

Python - Loops

Introduction to sequencing with Python (part four)

Python - Flow Control

Python - Lists & Strings & Dictionaries

Data Manipulation Olympics - JQ

Introduction to sequencing with Python (part three)

Data Manipulation Olympics - SQL

Python - Basic Types & Type Conversion

dplyr & tidyverse for data processing

Plotting in Python

Introduction to sequencing with Python (part two)

Data visualisation Olympics - Visualization in R

Introduction to sequencing with Python (part one)

Python - Functions

Advanced Python

Advanced R in Galaxy

Variant Calling Workflow

CLI basics

R basics in Galaxy

Version Control with Git

Advanced CLI in Galaxy

SQL Educational Game - Murder Mystery

SQL with R

Python - Warm-up for statistics and machine learning

CLI Educational Game - Bashcrawl

Introduction to Python

Python - Math

Make & Snakemake

One protein along the UniProt page

Introduction to SQL

Advanced SQL

SQL with Python

Basics of using Git from the Command Line

A (very) brief history of genomics

Learning about one gene across biological resources and formats

Data Manipulation Olympics

SARS-CoV-2 Viral Sample Alignment and Variant Visualization

SRA Aligned Read Format to Speed Up SARS-CoV-2 data Analysis

Removal of human reads from SARS-CoV-2 sequencing data

Automating Galaxy workflows using the command line

Submitting sequence data to ENA

From NCBI's Sequence Read Archive (SRA) to Galaxy: SARS-CoV-2 variant analysis

Mutation calling, viral genome reconstruction and lineage/clade assignment from SARS-CoV-2 sequencing data

Updating tool versions in a tutorial

Creating Slides

Creating content in Markdown

Single Cell Publication - Data Analysis

Single Cell Publication - Data Plotting

FAIR Galaxy Training Material

Creating a new tutorial

Creating Interactive Galaxy Tours

Including a new topic

FAIR-by-Design methodology

Generating PDF artefacts of the website

Design and plan session, course, materials

Teaching Python

Tools, Data, and Workflows for tutorials

Adding auto-generated video to your slides

GTN Metadata

Adding Quizzes to your Tutorial

Principles of learning and how they apply to training and teaching

Preview the GTN website as you edit your training material

Updating diffs in admin training

Contributing with GitHub via its interface

Overview of the Galaxy Training Material

Contributing to the Galaxy Training Network with GitHub

Setting up molecular systems

Protein-ligand docking

Running molecular dynamics simulations using NAMD

Running molecular dynamics simulations using GROMACS

High Throughput Molecular Dynamics and Analysis

Analysis of molecular dynamics simulations

Data management in Medicinal Chemistry

Virtual screening of the SARS-CoV-2 main protease with rxDock and pose scoring

Protein target prediction of a bioactive ligand with Align-it and ePharmaLib

Creating a Special Interest Group

Creation of a Galaxy tutorial table for your community

Make your tools available on your subdomain

Creation of resources listing Galaxy workflow for your community

What's a Special Interest Group?

Creation of resources listing all the tools and their metadata relevant to your community

Creating community content

Creation of the labs in the different Galaxy instances for your community

Getting your hands-on earth data

Ocean Data View (ODV)

Functionally Assembled Terrestrial Ecosystem Simulator (FATES) with Galaxy Climate JupyterLab

Collaboration with JupyterGIS

Visualize Climate data with Panoply netCDF viewer

Introduction to climate data

Sentinel 5P data visualisation

Analyse Argo data

Getting your hands-on climate data

Ocean's variables study

Functionally Assembled Terrestrial Ecosystem Simulator (FATES)

Pangeo Notebook in Galaxy - Introduction to Xarray

Pangeo ecosystem 101 for everyone - Introduction to Xarray Galaxy Tools

Nitrate DMQC for autonomous platforms such as Argo floats

Genome assembly and assembly QC - Introduction short version

An introduction to get started in genome assembly and annotation

Deeper look into Genome Assembly algorithms

Decontamination of a genome assembly

Genome Assembly of MRSA from Oxford Nanopore MinION data (and optionally Illumina data)

Chloroplast genome assembly

Large genome assembly and polishing

De Bruijn Graph Assembly

Assembly of metagenomic sequencing data

Genome Assembly Quality Control

Assembly of the mitochondrial genome from PacBio HiFi reads

Unicycler assembly of SARS-CoV-2 genome with preprocessing to remove human genome reads

Hybrid genome assembly - Nanopore and Illumina

Using the VGP workflows to assemble a vertebrate genome with HiFi and Hi-C data

Genome assembly using PacBio data

Genome Assembly of a bacterial genome (MRSA) sequenced using Illumina MiSeq Data

ERGA post-assembly QC

Vertebrate genome assembly using HiFi, Bionano and Hi-C data - Step by Step

Unicycler Assembly

Making sense of a newly assembled genome

An Introduction to Genome Assembly

BioImage Model Zoo: Advanced models in one-click

Welcome to the BioImage Model Zoo

Contribute to the BioImage.IO models

Deploying a compute cluster in OpenStack via Terraform

Deploying Tailscale/Headscale for private mesh networking

Deploying Wireguard for private mesh networking

Pulsar usage on SURF Research Cloud

Galaxy usage on SURF Research Cloud

Managing Galaxy on Kubernetes

Galaxy Installation on Kubernetes

Use Apptainer containers for running Galaxy jobs

How I learned to stop worrying and love the systemd

Automation with Jenkins

Deploying a Beacon v1 in Galaxy

Customizing the look of Galaxy (Manual)

Reference Data with CVMFS without Ansible

Configuring the Onedata connectors (remotes, Object Store, BYOS, BYOD)

Enable upload via FTP

Galaxy Database schema

Upgrading Galaxy

Galaxy Monitoring with Reports

Create a subdomain for your community on UseGalaxy.eu

Customizing the look of Galaxy

Performant Uploads with TUS

Adding file-sources to Galaxy

Monitoring Galaxy and Pulsar with Sentry

Mapping Jobs to Destinations using TPV

Alternative Celery Deployment for Galaxy

Training Infrastructure as a Service (TIaaS)

Data Libraries

Advanced customisation of a Galaxy instance

Controlling Galaxy with systemd or Supervisor

Galaxy Interactive Tools

User, Role, Group, Quota, and Authentication managment

Reference Data with CVMFS

Galactic Database

Galaxy Troubleshooting

Gearing towards production

uWSGI

Running Jobs on Remote Resources with Pulsar

Server Maintenance: Cleanup, Backup, and Restoration

Connecting Galaxy to a compute cluster

Galaxy Tool Management with Ephemeris

Galaxy Monitoring with gxadmin

Galaxy Administrator Time Burden and Technology Usage

Galaxy Installation with Ansible

Galaxy from an administrator's point of view

Server: Other

Empathy

Ansible

Galaxy Monitoring with Telegraf and Grafana

Docker and Galaxy

Setting up Celery Workers for Galaxy

Galaxy Monitoring

Distributed Object Storage