Bioinformatics and Systems Biology Approaches for the Analysis of Complex Biological Networks, Short Course

University of Patras

Address : Panepistimioupoli Patron, Patra 265 04, Greece , Peloponnesos
  • E-mail : rectorate@upatras.gr
  • Phone : +30 261 099 6683
  • Type : Public

Bioinformatics and Systems Biology Approaches for the Analysis of Complex Biological Networks, Short Course

Important Information

  • Per Year Tuition FeesPer Year Tuition Fees
    220 EUR
  • DurationDuration
    6 Days  Bachelor  (Full Time)
  • IntakeIntake
    1 : Jul - 2018

Infrastructure / Teaching Facilities

  • Auditorium
    Auditorium
  • Cafeteria
    Cafeteria
  • Classrooms
    Classrooms
  • Conference Room
    Conference Room
  • Food Court
    Food Court
  • Library
    Library
  • Parking
    Parking
  • Residence
    Residence
  • Sports Facilities
    Sports Facilities
  • Wi-Fi
    Wi-Fi

About Bioinformatics and Systems Biology Approaches for the Analysis of Complex Biological Networks, Short Course

The exponential increase in high-throughput 'omics data sets are rapidly changing standard paradigms that have dominated research in the past. Understanding gene interaction networks under different genetic and environmental influences will soon be a sine qua non for new strategies for the prevention, diagnosis, and treatment of a wide range of human diseases. Over the last two decades, sophisticated experimental systemsmost notably mouse modelshave been exploited to study gene functions, network structure, and gene-by-environment interactions. Murine genetic reference populations, such as the Collaborative Cross and the BXD family, incorporate large numbers of genomic variants and have reached a level of genetic variation that exceeds that of the entire human population. These and other resources are being use as experimental systems for sophisticated mathematical, statistical, and computational modeling of human health and disease. The six-day school will provide both a forum for new ideas and serve as a practical workshop. Students will interact closely with senior bioinformaticians, systems biologists, geneticists, statisticians, and engineers.

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