Resources

Graphics

Choosing the right plotWhen working with data, there comes a point when you need to visualize it. Data to Viz is an invaluable resource that helps you select the best visualization for your data and offers practical tips on presenting data effectively and highlights common pitfalls to avoid.

Visualization TipsAnother excellent resource on plots and graphics, offering guidance on avoiding common pitfalls and creating clearer, more effective figures.

Creating figures without effortsNo coding skills are needed to create visually appealing and insightful figures. datawrapper.de enables you to quickly and effortlessly produce interactive and professional-quality plots.

Material

Educational materialGlittr is a repository of free educational materials created by and for bioinformaticians. It offers a vast collection of content covering numerous coding languages and analytical techniques.

ML training dataThis dataScienceSchool.com page compiles a wide range of links to free datasets, perfect for practicing Machine learning. It includes datasets spanning various types and domains.

Bioinformatics in PythonScikit-bio is a comprehensive and well-documented resource for various types of data manipulation in Python.

Statistics

Statistical testsChoosing the right test to analyze your data is crucial but can be challenging. statsandr.com provides valuable tips and guidance on selecting and applying the appropriate statistical methods based on your data.

Rstudio introductionAn excellent introduction to Rstudio by datacamp.

AI

LLM for geneticsLanguage models are now everywhere. And the genetic code is a language ! Here is a training for using LLMs in genetics comprising lectures and practice.