Future courses at NBIS
See our course catalogue the SciLifeLab Training Portal or ELIXIR TeSS for more training events across Europe.
R Programming Foundations for Data Analysis
2024-10-28 to 2024-11-01 (5 days)
Deadline 2024-09-30
Uppsala and Lund
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This course is addressed to individuals with little or no experience in programming but who are enthusiastic about learning how to use R for data analysis and streamline their work. The course covers fundamental concepts of programming and software design focusing on programming in R. We will go through various aspects of R scripting emphasizing the parts useful for life scientists. After introductory lectures on good programming practices, basic software design theory and a brief overview of R, we will delve into programming.Python programming with applications to bioinformatics
2024-11-11 to 2024-11-15 (5 days)
Deadline 2024-09-24
Uppsala, Umeå, Lund
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This course provides a practical introduction to the writing of Python programs for the complete novice. Participants are led through the core aspects of Python illustrated by a series of example programs. Upon completion of the course, attentive participants will be able to write simple Python programs from scratch and to customize more complex code to fit their needs. The course consists of a mix of presentations, demonstrations, and practical exercises (either in the lab with assistants or on your own). Prior to the course, you can read a companion book “Programming Python”, or “Learning Python”. Such a book will also prove useful for your programming tasks, after the course is over. It is however not required, and material will be presented in class.Programming Formalisms
2024-11-18 to 2024-11-22 (5 days)
Deadline 2024-11-15
Online
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This course aims to give life scientists, bioinformaticians, and other scientists with some experience in programming and scripting an understanding of the underlying principles of software development, design, and programming. The course aims to strengthen the understanding of more advanced programming concepts, ability to produce more reusable scripts through modular programming and to enable a better understanding of how to evaluate a script or programs performance.Introduction to Data Management Practices
2024-11-19 to 2024-11-21 (3 days)
Deadline 2024-10-13
Uppsala
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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.Introduction to bioinformatics using NGS data
2024-11-25 to 2024-11-29 (5 days)
Deadline 2024-10-13
Linköping
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This intense one-week workshop provides an introduction to the analysis of next generation sequencing data. Lectures on the theory of concepts will be paired with practical computational exercises in the Linux environment. The practical exercises will focus on data from the Illumina platform, but we will discuss other sequencing platforms and the advantages and challenges to using their data during the lectures.NBIS/ELIXIR-SE Tools for Reproducible research
2024-11-25 to 2024-11-29 (5 days)
Deadline 2024-10-18
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This course aims to help researchers make their computational analysis more reproducible. One of the key principles of proper scientific procedure is the act of repeating an experiment or analysis and being able to reach similar conclusions. Reproducible research not only leads to proper scientific conduct, but also enables other researchers to build upon previous work. Most importantly, the person who organizes their work with reproducibility in mind will quickly realize the immediate personal benefits: an organized and structured way of working. The person that most often has to reproduce your own analysis is your future self!Biostatistics and Machine Learning II
2024-11-25 to 2024-11-29 (5 days)
Deadline 2024-10-18
Uppsala
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This course if aimed for those who seek to deepen their biostatistical and machine learning skills. Building on the Introduction to Biostatistics and Machine Learning course, this course expands on common life science data analysis methods, including dimensionality reduction techniques beyond PCA, mixed-effects models for analysis of repeated measures, and survival analysis. We will also dive deeper into machine learning, covering more classification algorithms, ensemble techniques, optimization strategies and PLS methods for single and multi-omics data analysis.Population genomics in practice
2024-12-02 to 2024-12-06 (5 days)
Deadline 2024-10-15
Uppsala
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The aim of this workshop is to provide an introduction to commonly used methods in population genomics. As the focus of the course is on hands-on work, the topics have been designed to cover the fundamental analyses that are common in many population genomics studies. The course consists of lectures and exercises, with a focus on the practical aspects of analyses. Whereas lectures introduce some background theory, their primary aim is to set the stage for accompanying exercises.
