Bioinformatics for non-bioinformaticians - Computational analyses in health and life sciences
Interpret and analyse data to address a learning gap in life sciences← Back to courses
- CIVIS focus area
- Open to
- Field of studies
- Medicine and Health
- Natural Sciences and Mathematics
- CIVIS Hub 3
- Course dates
- 18-22 July 2022
This CIVIS Summer School aims to address a learning gap in life sciences about interpreting and analyzing data. Towards this goal, the program includes lectures and hands-on workshops on next-generation sequencing platforms that produce a massive volume of data. These data require the development of algorithms, pipelines, and software to analyze, transfer, and store the genomics data-computational analyses in a database. The program also includes lectures in modern bioinformatics that combine biology, computer science, data science, mathematics, and statistics to analyze the vast amount of data associated with modern biosciences. To finalize, the program will bridge the addressed fields with translational sciences in biology, chemistry, and medicine, where data analysis plays a significant role in health and life sciences. This is the case of novel targeted diagnostic tools, functional imaging, and active surveillance in personalized medicines. The program gathers excellent scientists from the CIVIS partner institutions in bioinformatics, biochemistry, biotechnology, biomedical imaging, and radiology so that students benefit entirely from the vast expertise.
Main topics addressed
- Basics and technologies
- NGS I: analysis of next-generation sequencing data
- NGS II: interpretation of next-generation sequencing data
- Protein structure and function
- Compounds and imaging
Students will learn how to handle:
- Biomedical/biochemical data, big data and data science
- Biomedical data management
- Public datasets of gene expression and epigenetics data
- Next-generation-sequencing data
- computational analysis of proteins
- identification of (potentially) active compounds
|Dates: 18-22 July 2022
|Location: Tübingen, Germany
|Student workload: 60 hours
|Language: English (B2)
|Contact hours: 30
|CIVIS scholarships: 20
*The recognition of ECTS depends on your home university.
This CIVIS course consists of 23 sessions happening over five days from 9.00 to 5.00 CET
For further information or if you have any questions, please send an e-mail to:
This CIVIS course is open to motivated Bachelor's, Master and PhD students at one of CIVIS member universities.
A B2 level of English is recommended.
Undergraduate students should have already acquired 90 credits in their field of study or 3 semesters of study.
Schedule of the course
The CIVIS course will consist of a blended mixture of carefully selected traditional lectures, workshops, and tutorials structured into five different sessions on the five days of the course. In particular, it will consist of the following sessions:
Day 1 - Basics and technologies
During the first session "basics and technologies", participants will understand the need for large-scale data in research projects and how to use public open-access databases. Moreover, they will learn 3D modelling of macromolecules and gain insight into different technologies for next-generation sequencing applications.
Day 2 - NGS I: analysis of next-generation sequencing data
The second day of the CIVIS summer school is dedicated to data analysis generated via next-generation sequencing (NGS). The participants will learn the man steps in an NGS data analysis pipeline and introduce the concepts of bioinformatic data analysis of genomic data. Moreover, students will learn strategies of how identified sequence variants can be interpreted towards identifying pathogenic mutations.
Day 3 - NGS II: interpretation of next-generation sequencing data
After dealing with the analysis of next-generation sequencing data on the second day, day 3 will focus on interpreting such data. Participants will be guided by identifying a potentially pathogenic mutation to the diagnosis of a disease and how "omics" approaches and functional analyses can assist this process.
Day 4 - Protein structure and function
Day 4 will focus on the computational analysis of proteins. The participants will learn protein structure databases and protein structure prediction, which applications are available, and the limitations of such predictions.
Day 5 - Compounds and imaging
Identifying an underlying genetic mutation and predicting the protein structure does not necessarily lead to the identification of a cure for a disease. Therefore, day 5 will focus on identifying (potentially) active compounds using bioinformatical and screening approaches and strategies for translational imaging and the preclinical analysis of compounds.
Selected students will be notified by the end of April 2022.
This CIVIS course will be held in the buildings of the Tübingen University Hospital. Participating students might be asked to provide COVID-19 immunization proof when entering the university hospital depending on the regulations in force in July.
Students can claim 3 ECTS for their attendance, the preparation and the presentation of a poster at this CIVIS course. Students will have the option to participate in a written exam at the end of summer school if a grade is needed. This exam will be held in a multiple-choice format using questions set by the lecturers of the course.
The faculty of the CIVIS course will consist of expert speakers from most CIVIS partner universities and will cover the full spectrum of the CIVIS course.
- Speranţa Avram (Bucharest)
- Christophe Beroud (Marseille)
- Nicolas Casadei (Tübingen)
- Mathieu Cerino (Marseille)
- Arne Elofsson (Stockholm)
- Ileana C. Farcasanu (Bucharest)
- Giulia Fiscon (Roe)
- Samuel C. Flores (Stockholm)
- Maria Gazouli (Athens)
- Valerio Licursi (Rome)
- André F. Martins (Tübingen)
- Mihaela Matache (Bucharest)
- Andreas Maurer (Tübingen)
- Maria Mernea (Bucharest)
- Sven Nahnsen (Tübingen)
- Alessandro Paiardini (Rome)
- Luis del Peso (Madrid)
- Maria Roubelakis (Athens)
- Pauline Romanet (Marseille)
- Thorsten Schmidt (Tübingen)
- Marc Sturm (Tübingen)