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
In this course, participants will learn to utilize the ggplot2 package, a widely-used tool in R for creating visually appealing and highly customizable graphs.
The Swedish Bioinformatics Workshop (SBW) is an annual event that has been organized by different universities in Sweden since 2000. It is the biggest meeting of bioinformaticians and computational biologists in Sweden. Senior scientists and non-academic participants are welcome. In addition, the SBW2024 is part of the Nordic Computational Biology (Nordic CompBio) week and is open to participants from other Nordic countries (Estonia included).
Application deadline: 1st of October 2024
Date: 4-5 November 2024
This Tableau course is designed to equip learners with the essential skills required to navigate the software’s core features. Students will learn to create compelling visualisations, manipulate data, develop dashboards, and share insights effectively.
R is a free software environment for statistical computing and graphics. It compiles and runs on various UNIX platforms, Windows and MacOS.
RStudio is an essential tool for anyone involved in R programming. It plays a vital role in data analysis by facilitating data import, access, transformation, exploration, visualization, and modeling tasks. If you’re embarking on your journey to learn R, now is the perfect moment to familiarize yourself with RStudio. Discover what RStudio is, how to install it, and begin harnessing its capabilities to enhance your data analysis and programming skills.
It would be beneficial to participate in OpenRefine course, so your data would be clean before you start analysing it.
The practical workshop on cleaning your messy data with OpenRefine software.
First, we will cover spreadsheet best practices. Then, we will put that knowledge into practice with OpenRefine. This course will explore the depths of OpenRefine software and see what it can offer. This will include cleaning the data in bigger batches and unifying the data in one sweep (transforms and expressions). Additionally, we will introduce the possibility of downloading additional data from other databases and different extensions OpenRefine software has.