1. Events
  2. Organizers
  3. NBIS – National Bioinformatics Infrastructure Sweden

Workshop on Data Visualization in R – Lund

A national course open for PhD students (prioritized), postdocs, researchers and other employees within Swedish universities who are interested in learning to produce publication quality plots using different packages in R.

NBIS – National Bioinformatics Infrastructure Sweden
Retina D227, Biologihuset Sölvegatan 35, Lund

Introduction to Data Management Practices

This course will introduce important aspects of Research Data Management through a series of lectures and hands-on computer exercises. The course is intended for researchers that want to take the first steps towards a more systematic and reproducible approach to analysing and managing research data.

NBIS – National Bioinformatics Infrastructure Sweden
Navet, SciLifeLab Uppsala SciLifeLab Uppsala, BMC C11, Husargatan 3, Uppsala, Sweden

NBIS/ELIXIR-SE Tools for Reproducible Research – ONLINE

NBIS / ELIXIR-SE course is open for PhD students, postdocs, group leaders and core facility staff interested in making their computational analysis more reproducible

NBIS – National Bioinformatics Infrastructure Sweden
Online event via Zoom

Introduction to Biostatistics and Machine Learning

The course is geared towards life scientists wanting to be able to understand and use basic statistical methods.

NBIS – National Bioinformatics Infrastructure Sweden
Navet, SciLifeLab Uppsala SciLifeLab Uppsala, BMC C11, Husargatan 3, Uppsala, Sweden

RaukR, Advanced R for Bioinformatics workshop

This workshop will focus on advanced R functionality, to increase the participants skillset and understanding of what is possible to do today.

NBIS – National Bioinformatics Infrastructure Sweden

Epigenomics Data Analysis: from Bulk to Single Cell (ONLINE)

This workshop aims to introduce the best practice bioinformatics methods for processing, analyses, visualisation and integration of epigenomics and functional genomics data.

NBIS – National Bioinformatics Infrastructure Sweden
Online event via Zoom

Python programming with applications to bioinformatics

National course open for PhD students, postdocs, researchers and other employees in need of fundamental Python skills within all Swedish universities

NBIS – National Bioinformatics Infrastructure Sweden

Introduction to Data Management Practices – Cancelled

This workshop will introduce important aspects of research data management through a series of lectures, demonstrations, and hands-on computer exercises.

NBIS – National Bioinformatics Infrastructure Sweden
Uppsala University, Uppsala and Chalmers University, Gothenburg

R Foundations for Life Scientists

This course covers fundamental concepts of programming and software design focusing on programming in R.

NBIS – National Bioinformatics Infrastructure Sweden
Navet, SciLifeLab Uppsala SciLifeLab Uppsala, BMC C11, Husargatan 3, Uppsala, Sweden

DDLS Population genomics in practice

The aim of this workshop is to provide an introduction to commonly used methods in population genomics. The topics have been designed to cover the fundamental analyses that are common in many population genomics studies.

NBIS – National Bioinformatics Infrastructure Sweden
Navet, SciLifeLab Uppsala SciLifeLab Uppsala, BMC C11, Husargatan 3, Uppsala, Sweden

Introduction to bioinformatics using NGS data

National workshop for PhD students, postdocs, researchers, and other employees within Swedish academia, introducing the analysis of next generation sequencing data.

NBIS – National Bioinformatics Infrastructure Sweden
Navet, SciLifeLab Uppsala SciLifeLab Uppsala, BMC C11, Husargatan 3, Uppsala, Sweden

NBIS/ELIXIR-SE Tools for Reproducible Research

NBIS / ELIXIR-SE course is open for PhD students, postdocs, group leaders and core facility staff interested in making their computational analysis more reproducible.

NBIS – National Bioinformatics Infrastructure Sweden
Air&Fire, SciLifeLab Stockholm Tomtebodavägen 23A, Solna, Sweden

Last updated: 2021-06-08

Content Responsible: David Gotthold(david.gotthold@scilifelab.se)