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The following courses are organized and taught by the URPP Evolution bioinformatician and / or members of the URPP Evolution:
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:
Please send an email to Deepak Tanwar if you would like to be informed about upcoming tutorials.
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
When: FS 2024
Instructors: Kentaro Shimizu, Stefan Lüpold, Anna Lindholm, Simon Aeschbacher, Gregor Hans Mathes, Fabrizio Menardo, Andrei Papkou
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
• Addressing different types of audience
• Find and keep motivation for writing projects; tools to improve focus
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: HS 2016, FS2018, HS2019, HS2021, HS2022, FS2024
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.
BIO 609 in Course Catalogue UZH
When: Nov 5, 2024
Instructor: Deepak Tanwar
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. Fundamentals of data analysis and machine learning are also introduced.
BIO 610 in Course Catalogue UZH
When: Nov 6-7 2024
Instructors: Kentaro Shimizu, Masaomi Hatakeyama, Jun Sese, Rie Shimizu Inatsugi, Deepak Tanwar
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.
BIO 624 in Course Catalogue UZH
When: HS 2022
Instructors: Mark Stoneking (MPI for Evolutionary Anthropology, Leipzig), Chiara Barbieri, Kentaro Shimizu
The goal is to introduce the students into data processing and analysis used in high-throughput sequencing (HTS). Based on the course BIO 610 "Next-Generation Sequencing for Model and Non-Model Species" it will extend knowledge of HTS analysis and skills in computing taking a hands- on approach.
BIO 634 in Course Catalogue UZH
When: Dec 10-11, 2024
Instructor: Deepak Tanwar
In this course, we will discuss one of the main tools for identifying genes that underlie natural phenotypic variation: genome-wide association studies (GWAS).
At the beginning of the course, we will provide an introduction to GWAS and a brief introduction to the computer languages used such as python, R and Perl. Then, we will introduce the principles of genetic mapping of target genes and the genetic and statistical background on which GWAS are based. The course has a strong practical component, and students will gain experience analyzing real data on the computer. At the end of the course, students will be able to interpret GWAS results and carry out their own analyses with their own data. We will also discuss basic concepts (and challenges) in population genetics and genomics.
When: HS2013, HS2015, HS2018, HS2020, FS2023, FS2024
Instructors: Matthew Horton, Thomas Wicker
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.
