Collections in Space BioNT

Use collections to bring together multiple datasets and their associated files in an almost unlimited number of ways.

Awareness in Data Management and Analysis for Industry and Research

This workshop covers essential research data management skills. The first part introduces data management fundamentals, best practices, European data spaces, and Data Management Plan creation. The second part focuses on practical implementation: data organisation, FAIR principles, Electronic Lab Notebooks, and reproducible data analysis using tools like Git, Zenodo, and Conda. Interactive exercises throughout help participants apply concepts to real-world research scenarios.

2 0 16 0

A practical introduction to bioinformatics and RNA-seq using Galaxy

This course provides a comprehensive introduction to RNA-sequencing (RNA-seq) data analysis using the Galaxy platform. Galaxy offers an accessible, user-friendly, and FAIR environment that empowers researchers without programming experience to perform complex bioinformatics analyses. The course begins with an introduction to Galaxy, followed by tutorials on sequencing quality control and read mapping. Participants will then learn both the foundational and advanced steps of RNA-seq data analysis, including quantification and differential expression. The course concludes with an overview of relevant data types, databases, and resources to support further exploration and interpretation of RNA-seq results.

12 0 51 0

BioNT Community Event & CarpentryConnect Heidelberg 2024

[ordering]manual[endordering][collection_order]["6744a8c8e4b0846534895a56","6744a8d8e4b0846534895a5b"][endcollection_order]

0 2 199 0

An introduction to High Performance Computing

This course provides a comprehensive introduction to high-performance computing (HPC), covering fundamental concepts such as accessing and navigating HPC clusters using the Unix shell, transferring files, submitting and managing jobs through a scheduler, and understanding the benefits and limitations of parallel execution. The materials also introduce HPC workflow management with Snakemake, enabling learners to construct reliable, scalable, and reproducible scientific workflows suitable for both academic and industrial environments, particularly relevant for artificial intelligence applications requiring large-scale or specialised computation.

3 0 207 0

From zero to hero with Python

This workshop covers essential introductory programming and data analysis skills using
Python.
The first part introduces fundamental programming concepts, including variables, data types,
lists, loops, conditionals, and functions. Participants learn how to structure code, debug
errors, and build the foundations needed for effective scripting.
The second part focuses on practical data analysis workflows: loading and manipulating
tabular data with pandas, visualising trends in the Gapminder dataset, and automating
analyses through reusable functions. Hands-on exercises throughout the workshop help
participants apply these concepts to real-world data scenarios.

2 0 212 0

Awareness in Data Management and Analysis for Industry and Research

This workshop covers essential research data management skills. The first part introduces data management fundamentals, best practices, European data spaces, and Data Management Plan creation. The second part focuses on practical implementation: data organisation, FAIR principles, Electronic Lab Notebooks, and reproducible data analysis using tools like Git, Zenodo, and Conda. Interactive exercises throughout help participants apply concepts to real-world research scenarios.
Nov 27, 2025
2 0

A practical introduction to bioinformatics and RNA-seq using Galaxy

This course provides a comprehensive introduction to RNA-sequencing (RNA-seq) data analysis using the Galaxy platform. Galaxy offers an accessible, user-friendly, and FAIR environment that empowers researchers without programming experience to perform complex bioinformatics analyses. The course begins with an introduction to Galaxy, followed by tutorials on sequencing quality control and read mapping. Participants will then learn both the foundational and advanced steps of RNA-seq data analysis, including quantification and differential expression. The course concludes with an overview of relevant data types, databases, and resources to support further exploration and interpretation of RNA-seq results.
Nov 26, 2025
12 0

BioNT Community Event & CarpentryConnect Heidelberg 2024

[ordering]manual[endordering][collection_order]["6744a8c8e4b0846534895a56","6744a8d8e4b0846534895a5b"][endcollection_order]
Aug 02, 2024
0 2

An introduction to High Performance Computing

This course provides a comprehensive introduction to high-performance computing (HPC), covering fundamental concepts such as accessing and navigating HPC clusters using the Unix shell, transferring files, submitting and managing jobs through a scheduler, and understanding the benefits and limitations of parallel execution. The materials also introduce HPC workflow management with Snakemake, enabling learners to construct reliable, scalable, and reproducible scientific workflows suitable for both academic and industrial environments, particularly relevant for artificial intelligence applications requiring large-scale or specialised computation.
Jul 31, 2024
3 0

From zero to hero with Python

This workshop covers essential introductory programming and data analysis skills using
Python.
The first part introduces fundamental programming concepts, including variables, data types,
lists, loops, conditionals, and functions. Participants learn how to structure code, debug
errors, and build the foundations needed for effective scripting.
The second part focuses on practical data analysis workflows: loading and manipulating
tabular data with pandas, visualising trends in the Gapminder dataset, and automating
analyses through reusable functions. Hands-on exercises throughout the workshop help
participants apply these concepts to real-world data scenarios.
Apr 15, 2024
2 0