The URPP Evolution teaching efforts aim at allowing PhD students to become researchers with a comprehensive understanding of the fields of evolutionary biology, genomics, bioinformatics, population genetics, and ecology.
The following courses are organized and taught by the URPP Evolution bioinformatician and / or members of the URPP Evolution:
Tutorials in Practical Bioinformatics
Biology is constantly making use of new technologies that allow the acquisition of genomic and expression data (i.e. genomes, transcriptomes, methylomes). The goal of the tutorials is to teach students the skills to process and analyze their own sequencing data, as well as getting updates on the latest technologies and current genomic tools.
Examples of previous tutorials:
- Data visualization with Python
- Basic BAM file manipulations with Pysam
- Productivity tools
- Github and Jupyter notebooks
When: at irregular intervals - interested PhD (and master) students should send an email to get information about upcoming tutorials
Instructor: Deepak Tanwar
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.
BIO 395 in Course Catalogue UZH (HS 2021)
When: FS 2023
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: Nov 25 / 28, 2022
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: October 31, 2022
Instructor: Deepak Tanwar
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. Machine learning and gene expression network are briefly introduced.
When: Nov 1 - 2, 2022
BIO 624 Human Genetic, Demographic and Cultural Diversity
Genetics studies have been extensively used in the past decades to elucidate human history and understand present patterns of diversity. The aim of this course is to review the major insights into human genetic history, in the context of our extensive cultural and ecological diversity. Topics will include: history of genetic studies, principles of population genetics, methods to detect selectionss, major findings concerning human genetic history, and relationships between genetic and cultural diversity.
When: Nov 22 - 24, 2022
BIO 634 Next-Generation Sequencing for Model and Non-Model Species 2: Transcriptomes, Variant Calling and Biological Interpretation
The aim of this course is to introduce students to the design and analysis principles of widely used NGS applications based on the course BIO 610. The focus of this follow-up course lies in SNP calling, transcriptome analysis and biological interpretation of gene lists. This course also provides hands-on computer training on the Linux/Unix command line and shell scripting.
BIO 634 in Course Catalogue UZH (FS 2021)
When: FS 2023