Module CS5460-KP06

Duration

1 Semester

Turnus of offer

each winter semester

Credit points

6

Course of studies, specific fields and terms:

• Master Medical Informatics 2019, advanced module, medical computer science

Classes and lectures:

• Analyse von Hochdurchsatzdaten (practical course, 1 SWS)
• Analyse von Hochdurchsatzdaten (exercise, 2 SWS)
• Analyse von Hochdurchsatzdaten (lecture, 2 SWS)

Workload:

• 30 hours work on project
• 75 hours in-classroom work
• 55 hours private studies
• 20 hours exam preparation

Contents of teaching:

• Learn statistical background and methods for analysis of next generation sequencing
• Introduction to common sequencing methods: RNA-seq, ChIP-seq, Whole Genome Sequencing, Whole Exome Sequencing, Hi-C seq, 4-C seq, 5-C seq, Single Cell Sequencing
• Basis of data analysis: statistics, methods and software
• Judge data quality and experimental design
• Use public databases for annotation, analysis and data download

Qualification-goals/Competencies:

• The students can analyse next generation high throughput sequencing data.
• The students know the different sequencing methods and their advantages and challenges.
• The students know how to approach the analysis of high throughput data, can interpret the results and annotate the data. The students know different workflows for data modelling and analysis.
• The students can use public databases for data download, integration and analysis
• Students can use high-throughput data from public databases and integrate the data into their own projects.
• Students can work on a project to independently analyze and integrate high-throughput data for personalized patient diagnosis.

Grading through:

• Written or oral exam as announced by the examiner

Responsible for this module:

• Prof. Dr. Hauke Busch

Teacher:

• LIED | Lübecker Institut für experimentelle Dermatologie (Lübeck Institute of Experimental Dermatology)
• Prof. Dr. Hauke Busch
• Dr. rer. nat. Anke Fähnrich
• Dr. Axel Künstner

Literature:

• Wing-Kin Sung : Algorithms for Next-Generation Sequencing CRC Press, 18 May 2017
• Datta, Somnath, Nettleton, Dan (Eds.) : Statistical Analysis of Next Generation Sequencing Data Springer, Heidelberg, 2014

Language:

• German and English skills required

Notes:

Last Updated:

19.08.2021