gsw220 - Bioinformatics and Omics (Vollständige Modulbeschreibung)

Official enrolment in the Module. 

Enrolment in the Master´s Program Molecular Biomedicine or similar (e.g Neuroscience Master, Microbiology Master, Biology Master)

Aims of the Module:

• To describe and discuss the principles and implementation of advanced techniques currently used to generate high-throughput biological data in multi-omic (genomics, proteomics, transcriptomics, and metabolomics) approaches aiming at a better understanding of molecular mechanisms underlying normal development and disease progression.  
   
• To provide basics to advance knowledge in different programming languages, software packages and overall Bioinformatic tools required to conduct data-driven biomedical research.  
   
• To perform bioinformatic analysis using public genomic, transcriptomic and proteomic datasets to identify the molecular mechanism involved in normal development and disease progression.  
   

Skills to be acquired/ competencies: 

++ deepened biological expertise 

+ deepened clinical expertise 

++ deepened knowledge of biological methods 

++ deepened knowledge of clinical genetic diagnostics 

++ data analysis skills 

++ usage of databases and computational tools 

interdisciplinary thinking 

critical and analytical thinking 

+ independent searching and knowledge of scientific literature 

++ ability to perform independent biological research 

++ data presentation and discussion (written and spoken) 

teamwork 

++ ethics and professional behavior 

+ project and time management

The Module focuses on the description of Principles and rational application of multi-omics approaches (genomics, epigenomics, transcriptomics, proteomics) along with multiple bioinformatic tools to unravel the molecular basis of complex biological process and human genetic disorders including cancer, CHD and rare diseases.

The Module is divided in five cores:

1.       srES (short read Exome Sequencing) srGS (short read Genome Sequencing) and lrGS (Long-read  Genome sequencing) approaches and variant interpretation for genetic routine diagnostic of human monogenetic disorders.

2.       Epigenomic and transcriptomic analysis and its potential application in precision medicine.

3.       Proteomic and metabolomics databases and bioinformatic tools used in biomedical research.

4.       Advanced genetic testing, diagnosis and treatment of cancer, Congenital Heart Disease (CHD) and neurological disorders.

5.       Bioinformatic tools in machine learning and Metagenomics analysis.

 Comment: all cores are projected in combination with a Bioinformatic Practical Session.

All the Scientific literature, which mostly includes Original Research Articles to be discussed during the Seminar sessions (6) will be available online as well as in printed version.

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Examination will take place during the Module as part of the Seminar and Practical Sessions. All the information regarding Examination will be detailed and discussed during the Introduction of the Module (Session 1).

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