The following courses are organized and taught by the URPP Evolution bioinformaticians and / or members of the URPP Evolution:
BIO 395 Concepts in Evolutionary Biology
Concepts in evolutionary biology are often used ambiguously, partly because the same terms may have different usage in other fields in biology. The course is designed for graduate students with interdisciplinary projects encompassing evolutionary biology and other disciplines, and provides lectures and simple calculation exercises in population and quantitative genetics.
When: March 12 - 13, 2018
BIO 396 Tutorials in Practical Bioinformatics
Biology is increasingly making use of new technologies that allow the acquisition of genome-wide data (e.g. of genomes, transcriptomes, methylomes). The goal of the tutorials is to teach students the skills to preprocess and analyze their own complex genomic data.
BIO 555 Scientific Writing for Evolutionary Biologists
All scientists have to write. Some love it, some hate it… This course provides tools and food for thought to enhance your writing and to overcome difficulties in the writing process. We will address the following topics:
• Publishing in Evolutionary Biology: how to write and communicate in the reviewing process
• Writing concise and attractive abstracts: how to structure and summarize complex topics
• Targeting your audience: how to adapt to your readers’ background and interests
• Getting ready to write: approaches to deal with procrastination and how to make use of your chronotype characteristics
The course will provide a cheerful setting to work on these topics, by means of exercises, guided group work, input talks, discussions and individual feedback.
When: May 14 - 15, 2018
BIO 609 Introduction to UNIX/Linux and Bash Scripting
Practical computing skills are becoming essential in modern biology for data processing and analysis. The goal is to introduce the students to the Linux operating system and command-line tools taking a hands-on approach. Students will learn to write simple bash scripts.
This is a preparatory 1-day course for the courses BIO 610 and BIO 634.
When: May 22, 2018
BIO 610 Next-Generation Sequencing for Model and Non-Model Species
Handling of the huge data produced by next generation sequencers (NGS) requires us experimental knowledge and computational skills. The aim of this course is to familiarize the participants with experimental methods and data analysis about NGS. Topics will include: fundamental analysis of the sequence data, UNIX tools, and RNA-seq analysis.
When: May 23 - 24, 2018
BIO 634 Next-Generation Sequencing for Model and Non-Model Species 2: Transcriptomes, Variant Calling and Biological Interpretation
The goal is to introduce the students into data processing and analysis used in next-generation sequencing (NGS). Based on the course BIO 610 it will extend knowledge of NGS analysis and skills in computing taking a hands- on approach.