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Vorlesungsverzeichnis >> Medizinische Fakultät (Med) >>
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Medical Systems and Network Biology (IntMedSys_f_DaSci)- Dozentinnen/Dozenten
- Prof. Dr. Julio Vera-Gonzalez, Dr.-Ing. Xin Lai
- Angaben
- Vorlesung
Online/Präsenz
3 SWS, Schein
nur Fachstudium, Sprache Englisch, Medical Systems Biology is a novel approach, in which quantitative biomedical data are investigated using advanced computational tools for data and network analysis, machine learning, modelling and simulation. The ultimate aim is to elucidate the role of genes in disease, the structure and functioning of biochemical networks in which they are integrated, give support in the construction of hypotheses and design if experiments, but also support drug discovery and treatment personalization. In this lectures series we introduce the basics of Medical Systems Biology, study data analysis strategies and data modelling methods employed, and discuss their use in state-of-the-art case studies. Topics included are: ‐ Basics of Molecular Biology ‐ High throughput data technologies in biochemical systems ‐ Next generation sequencing data generation, processing and analysis ‐ Biochemical network reconstruction - Databases of pathways and biochemical interactions ‐ Topological features of biochemical networks ‐ Data-driven network analysis - Algorithms for detection of core regulatory networks - Structural and dynamical properties o biochemical network motifs ‐ Algorithms for propagation in biochemical networks ‐ Algorithms for dynamical simulation of biochemical networks ‐ Network-based predictive modelling in Biomedicine Anmeldeschluss ist der 01.05.2022. Für weitere Informationen und die Anmeldung, wenden Sie sich bitte an Prof. Dr. Julio Vera-Gonzalez: julio.vera-gonzalez@uk-erlangen.de
Zeit und Ort: ; Bemerkung zu Zeit und Ort: Hybridformat. Bitte erfragen Sie den Veranstaltungsort bei Prof. Dr. Julio Vera-Gonzalez: julio.vera-gonzalez@uk-erlangen.de
- Studienfächer / Studienrichtungen
- WPF DS-BA ab 1
- ECTS-Informationen:
- Contents
- Cancer Systems Biology is a novel approach, in which quantitative biomedical data are investigated using advanced computational tools for data analysis, machine learning, modeling and simulation. The ultimate aim is to elucidate the structure and functioning of biochemical networks deregulated in cancer, giving support in the construction of hypotheses about cancer progression, but also in cancer drug discovery and treatment personalization. In this lectures series we introduce the basics of Cancer Systems Biology, study data analysis strategies and mathematical modeling methods employed, and discuss their use in state-of-the-art case studies. The lectures have practical sessions on computer modeling and simulation of cancer.
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 5, Maximale Teilnehmerzahl: 25
Für diese Lehrveranstaltung ist eine Anmeldung erforderlich.
Die Anmeldung erfolgt von Montag, 22.2.2021, 12:00 Uhr bis Sonntag, 17.10.2021, 12:00 Uhr über: persönlich beim Dozenten.
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2021/2022:
- Introduction to simulation, network and data analysis in Medical Systems Biology (IntSysMed_f_Eng)
- Institution: Lehrstuhl für Haut- und Geschlechtskrankheiten
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