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slides

Introduction to Metabolomics

• beginner
Metabolomics
slides

Visualizations: JavaScript Plugins

• beginner
Software engineering Development in Galaxy
e-learning

FAIR Bioimage Metadata

• beginner
Imaging bioimaging data management fair
slides

Phylogenetics - Back to Basics - Phylogenetic Networks

• beginner
Evolutionary biology Evolution
slides

Phylogenetics - Back to Basics - Estimating trees from alignments

• beginner
Evolutionary biology Evolution
slides

Identification of non-canonical ORFs and their potential biological function

• beginner
Transcriptomics
e-learning

Regulations/standards for AI using DOME

•• intermediate
Statistics and probability Statistics and machine learning ai-ml elixir
slides

Terraform

• beginner
Galaxy Server administration
slides

Options for using Galaxy

• beginner
Introduction to Galaxy Analyses
slides

Bioinformatics Data Types and Databases

• beginner
Software engineering Foundations of Data Science
slides

An earth-system RO-Crate

• beginner
FAIR Data, Workflows, and Research earth-system marine omics ocean ro-crate
e-learning

Neoantigen 3: PepQuery2 Verification

• beginner
Proteomics label-free
e-learning

Getting started with Onedata distributed storage
e-learning

Scripting Galaxy using the API and BioBlend

• beginner
Software engineering Development in Galaxy jupyter-notebook
e-learning

Label-free data analysis using MaxQuant

• beginner
Proteomics DDA label-free
e-learning

Multiomics data analysis using MultiGSEA

• beginner
Proteomics metabolomics multi-omics proteomics transcriptomics
e-learning

Foundational Aspects of Machine Learning using Python

•• intermediate
Statistics and probability Statistics and machine learning ai-ml elixir jupyter-notebook
e-learning

Neoantigen 4: Variant Annotation

• beginner
Proteomics label-free
slides

Introduction to Machine learning

• beginner
Statistics and probability Statistics and machine learning
e-learning

Single Cell Proteomics data analysis with bioconductor-scp

• beginner
Proteomics
e-learning

Automating Galaxy workflows using the command line

• beginner
Using Galaxy and Managing your Data covid19 variant-analysis workflows
e-learning

metaQuantome 1: Data creation

•• intermediate
Proteomics Proteogenomics Biodiversity Taxonomy microgalaxy
e-learning

Neoantigen 1b: Non-Reference-Database-Generation

• beginner
Proteomics label-free
e-learning

2: RNA-seq counts to genes

• beginner
Transcriptomics QC limma-voom mouse
slides

Introduction to DNA Methylation data analysis

• beginner
Epigenomics Epigenetics
slides

Pangeo ecosystem 101 for everyone

• beginner
Climate climate
e-learning

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

•• intermediate
Proteomics
slides

Galaxy Administrator Time Burden and Technology Usage

• beginner
Galaxy Server administration deploying maintenance survey
slides

Storage Management

• beginner
Galaxy Server administration
slides

Foundational Aspects of Machine Learning

• beginner
Statistics and probability Statistics and machine learning ai-ml elixir

Showing 30 events out of 34 (also found 21 past events)

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Introduction to Metabolomics

Visualizations: JavaScript Plugins

FAIR Bioimage Metadata

Phylogenetics - Back to Basics - Phylogenetic Networks

Phylogenetics - Back to Basics - Estimating trees from alignments

Identification of non-canonical ORFs and their potential biological function

Regulations/standards for AI using DOME

Terraform

Options for using Galaxy

Bioinformatics Data Types and Databases

An earth-system RO-Crate

Neoantigen 3: PepQuery2 Verification

Getting started with Onedata distributed storage

Scripting Galaxy using the API and BioBlend

Label-free data analysis using MaxQuant

Multiomics data analysis using MultiGSEA

Foundational Aspects of Machine Learning using Python

Neoantigen 4: Variant Annotation

Introduction to Machine learning

Single Cell Proteomics data analysis with bioconductor-scp

Automating Galaxy workflows using the command line

metaQuantome 1: Data creation

Neoantigen 1b: Non-Reference-Database-Generation

2: RNA-seq counts to genes

Introduction to DNA Methylation data analysis

Pangeo ecosystem 101 for everyone

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

Galaxy Administrator Time Burden and Technology Usage

Storage Management

Foundational Aspects of Machine Learning

Learning Pathway Introduction to Data Driven Life Sciences

Learning Pathway Metagenomics data processing and analysis for microbiome

Learning Pathway Tool development for a nice & shiny subdomain

Learning Pathway Applying single-cell RNA-seq analysis in Coding Environments

Learning Pathway Introductory SQL

Learning Pathway Train the Trainers

Learning Pathway Introduction to Galaxy and Ecological data analysis

Learning Pathway Proteogenomics

Learning Pathway Bioinformatics Projects: Using deconvolution to get new insights from old bulk RNA-seq data

Learning Pathway Applying single-cell RNA-seq analysis

Learning Pathway Artificial Intelligence and Machine Learning in Life Sciences using Python

Learning Pathway Bacterial comparative genomics

Learning Pathway Building training material in Galaxy

Learning Pathway Introduction to Galaxy and Sequence analysis

Learning Pathway Machine learning

Learning Pathway Epigenetics data analysis with Galaxy

Learning Pathway Clinical metaproteomics workflows within Galaxy

Learning Pathway Gallantries Grant - Intellectual Output 3 - Data stewardship, federation, standardisation, and collaboration

Learning Pathway Admin Training Course

Learning Pathway Neoantigen discovery using the iPepGen pipeline

Learning Pathway Gallantries Grant - Intellectual Output 1 - Introduction to data analysis and -management, statistics, and coding

Learning Pathway Gallantries Grant - Intellectual Output 2 - Large-scale data analysis, and introduction to visualisation and data modelling

Learning Pathway Introduction to Galaxy and Single Cell RNA Sequence analysis

Learning Pathway Introductory Python

Learning Pathway Genome annotation for prokaryotes

Learning Pathway Gallantries Grant - Intellectual Output 4 - Data analysis and modelling for evidence and hypothesis generation and knowledge discovery

Learning Pathway Detection of AMR genes in bacterial genomes

Learning Pathway Gallantries Grant - Intellectual Output 5 - Train-the-Trainer and mentoring programme

Learning Pathway Genome annotation for eukaryotes

Learning Pathway Discovering Galaxy through climate analysis