Teaching material

Unsupervised learning

Lecture and tutorial prepared and taught jointly by me and Kaspar Märtens at the NGSchool2022 in September 2022 in Jablonna, Poland.

Kasia Kedzierska, Kaspar Märtens

Last updated on Oct 3, 2022

Unsupervised learning

Data visualization in bioinformatics

I mentored hackathon during NGSprint where during the first part I taught data visualisation principles (with focus on use cases in computational biology) and introduction to interactivity with plotly and R Shiny. In the second part, participants applied their knowledge to visaulise the TCGA LGG data set.

Kasia Kedzierska

Last updated on Oct 3, 2022

Data visualization in bioinformatics

Introduction to Git

I run this workshop two years in the row for PhD students and young researchers in the Wellcome Centre for Human Genetics in Oxford.

Kasia Kedzierska

Last updated on Feb 11, 2021

Python for Data Science

This part of the tutorial focuses on how to leverage vast repository of Python modules to efficiently wrangle, analyze and visualize small and big data. We will mostly focus on NumPy, Pandas and Matplotlib, but also touch on ML libraries and Seaborn.

Kasia Kedzierska

Last updated on Feb 11, 2021

Python for Data Science

Introduction to Python

This workshop is to show you how things are done in Python, the fundaments of the language. I will show how to load the tools and learn to use them, but mostly give you a flavor of Python’s possibilities and show you where to find help.

Kasia Kedzierska

Last updated on Feb 11, 2021

Introduction to Python

ATAC-seq workshop

This workshop is supposed to introduce the highlights of ATAC-seq data analysis. Executing all parts of it allows to obtain some results from the data but is not comprehensive as it only covers a subset of methods used in the field.

Kasia Kedzierska

Last updated on Feb 11, 2021

ATAC-seq workshop