Edinburgh Genomics have a number of exciting coding courses coming up ranging from beginner to more advanced, so whether you’re just starting out on your coding journey or looking to sharpen your skills, we think these courses will be of interest to you! Please do also share these with anyone in your network that you think may benefit from these courses.

Introduction to Python for Biologists (IN PERSON)

> 20-24 January 2025: https://genomics.ed.ac.uk/event/introduction-to-python-for-biologists-2/

> The Kings Buildings, University of Edinburgh, EH9 3FL, Scotland

Our introductory course is perfect for those with a biological background and no programming experience. Python is a versatile, readable language ideal for bioinformatics, from simple scripts to complex projects. Start coding useful programs after just a few sessions and work on your own data with expert guidance.

What you’ll learn:

Basic programming concepts with hands-on coding practice
Text manipulation, file handling, and working with lists and loops
Writing functions and using regular expressions
Practical problem-solving for bioinformatics tasks

Join our online workshop to learn R, the powerful statistical computing language, tailored for biological data science. Whether you’re handling data, performing analysis, or creating stunning visualisations, this course has you covered. Taught by experienced Edinburgh Genomics trainers, you’ll leave with the tools you need to excel in R and produce publication ready results.

Dive into the world of bioinformatics with our Intro to Linux for Genomics course! Whether you’re new to Linux or looking to enhance your bioinformatic skills, this course will equip you with the essential tools to navigate and analyse genomic data efficiently. Learn to harness the command line, write shell scripts and manage large datasets and processes - all tailored for genomics research.

What you’ll learn:

Learn how to navigate through the file system
Use basic commands to manage files and set permissions
Download remote files and learn to zip/unzip them
Manage processes
Learn pattern matching to manipulate file content
Construct more complex commands using pipes and redirects
Write your very first shell scripts
Familiarise yourself with some genomic tools run from the command line

Snakemake (online)

> 14-16 October 2024: https://genomics.ed.ac.uk/event/snakemake/

Join our course on Snakemake, the powerful open-source workflow management system that simplifies and scales your data analysis. Organize Tasks: Break down complex analyses. Scale Seamlessly: Run workflows from local servers to the cloud without modification. Error Handling: Automate error management. Reproducibility: Document and share methods easily. If you’re familiar with the command line, you’re ready! No prior python experience required! If you’re new to coding we recommend our Linux for Genomics course first.

Dr Kathryn Campbell

Genomics and Bioinformatics Training Coordinator - Edinburgh Genomics

School of Biological Sciences
University of Edinburgh

Email: kcampb2@ed.ac.uk

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