Online course: Enrichment Analysis
This course is for biologists who are eager to perform functional annotation of a set of differentially expressed genes.
Application deadline: 19 November 2024
Date: 29 November 2024
This course is for biologists who are eager to perform functional annotation of a set of differentially expressed genes.
Application deadline: 19 November 2024
Date: 29 November 2024
This course introduces scientific researchers and PhD students to Notion, a versatile and powerful tool for productivity and organisation. Participants will learn to use Notion to streamline their workflows, manage their research projects, and enhance collaboration with colleagues. By the end of the course, attendees will have a deep understanding of Notion’s features and practical strategies to integrate them into their daily routines.
This course introduces you to the essentials of interacting with Large Language Models (LLMs). You’ll learn why chatbots are increasingly relevant and how mastering the skill of prompting can significantly reduce work time. Through hands-on exercises, you’ll gain practical experience in crafting precise prompts, ensuring you can leverage LLMs for a variety of tasks.
This course is addressed to life scientists, bioinformaticians and researchers who are familiar with writing Python code and core Python elements and would like to explore if further in their daily data wrangling and exploration tasks.
Registration deadline: 28 October 2024
This intermediate level course is addressed to biologists, bioinformaticians, and other computational scientists which use python in their research and would like to enhance their data exploration and presentation capabilities with interactive plots.
Registration deadline: 22 October 2024
Date: 12 November 2024
This course is aimed to provide basic survival skills in Linux and the terminal environment. We will teach you how to access files and folders, move around and hopefully shake off the fear of getting stuck somewhere along the way.
No prior knowledge is expected.
Requirements: Bring your own laptop and please follow the setup tutorial: https://elixirestonia.github.io/2021-09-28-shell-novice/setup.html
This course introduces the basics of Markdown, a lightweight markup language used to format plain text in documents. Markdown plays a crucial role in scientific research by enabling the efficient writing of reports, code documentation, and creating well-organised research notebooks. Students will learn essential Markdown syntax throughout the course, including formatting text, adding links, images, tables, math equations, and code blocks. By integrating Markdown with Jupyter Notebook, participants can build dynamic laboratory notebooks that streamline the documentation, analysis, and sharing of research findings.
Git is used across the world to help developers keep track of changes while working on different parts of the same project. Teams are not the only ones to benefit from version control: lone researchers can benefit immensely. Keeping a record of what was changed, when, and why is extremely useful for all researchers if they ever need to come back to the project later on (e.g., a year later, when memory has faded).
Git is used across the world to help developers keep track of changes while working on different parts of the same project. Teams are not the only ones to benefit from version control: lone researchers can benefit immensely. Keeping a record of what was changed, when, and why is extremely useful for all researchers if they ever need to come back to the project later on (e.g., a year later, when memory has faded).
DOME is a set of community-wide guidelines, recommendations and checklists, spanning these four areas (Data, Optimization, Model and Evaluation in Machine Learning) aiming to help establish standards of supervised machine learning validation in biology. The work was initially published in 2021 with more details on the DOME-ML page. This activity is part of the Machine Learning Focus Group.
Date: 24 September 2024, 13:00 CEST