After successful completion of the course, students are able to use bioinformatic tools. They have the ability to identify and implement the right solutions for future scientific questions. They are also familiar with the most important online resources and databases in the life sciences. In addition, they have a basic command of the use of Unix / Linux operating systems and the statistics programming language R. They have gained skills in genome assembly and metagenome analysis.

Tutorials and demonstrations will provide the basic framework for independent research into biological data sets (e.g. nucleic acid or protein sequences) and the necessary bioinformatics tools. Students are also empowered to solve these problems by independently completing tutorials, searches on the web and the targeted study of software documentation. 

Basic skills are developed for the application of essential bioinformatic environments such as the Unix/Linux oprtsting systems or the statistical environment/programming language R. As examples the students will assemlbe genomes and analyse metagenomic sequence datasets.

Furthermore, the course offers the opportunity to explore in depth the resources, tools and interfaces offered by online platforms and databases.

Introduction into exercises, independent training of bioinformatic skills, preparation of reports and a presentation of results, presentation of results including discussion and feedback

Preparation and submission of protocols for the four exercises.

Oral presentation of results of one of the exercises and submission of presentation as a pdf-file. 

If the course is overbooked students will be selectively admitted accodring to the following criteria (weighted from 1 to 5.):

1. Specialisation "Biotechnologie und Bioanalytik" in the Master study program "Technische Chemie"

2. First time applicant

4. Exam for VO "Angewandte Bioinformatik" passed

5. Time of registration for this course on TUWEL

Basic skills in using computers. 

Basic skills with operating systems (terminal) and programming languages is advantageous  but not a prerequisite for participation.

The completion of the courses VO Applied Bioinformatics (166.229) and VO Genetic Engineering and Industrial Genomics (166.156) is recommended as prior knowledge.

The exercises require a computer running on Windows, MacOS or Linux and access to the Internet. It is advantageous to take this computer with you to the sessions taking place at TU Wien, that will make the subsequent completion of exercises much easier.