Faculty of Science

PhD Summer School 2022 - Topics in Computational Biology
Provider: Department of Biology

Activity no.: 5104-22-01-31
	Enrollment deadline: 30/04/2022

Place	Biocenteret Ole Maaløes Vej 5, 2200 København N
Date and time	18.07.2022, at: 09:00 - 23.07.2022, at: 16:00
Regular seats	200
ECTS credits	7.50

Contact person	Shilpa Garg E-mail address: shilpa.garg@bio.ku.dk

Enrolment Handling/Course Organiser	Shilpa Garg E-mail address: shilpa.garg@bio.ku.dk
Written language	English
Teaching language	English
Exam details	Participants who have participated actively in all parts of the course and all projects satisfactorily will be awarded a certificate of completion and credit points at the end of the course.

Content This course covers state-of-the-art methods in computational molecular biology. Topic areas include research in cutting-edge sequencing data analysis (long-read and Hi-C sequencing) and applications in biodiversity genomics and medical genomics, deep learning models for single-cell multi-omics. Recent research by course participants is also covered. There may also be a project presentation and/or a small number of assignments. Day 1 Modeling computational problems with sequencing data Day 2 Finding optimal solutions to sequencing problems Day 3 Sampling over solutions to sequencing problems Day 4 Human complex disease Day 5 Model organisms and complex diseases. Day 6 Talks and social In the morning session, there will be lectures. In the afternoon, there will be small-scale group projects. At the end of each day, we will have about 10-minute presentations from each group. Formel requirements Introductory courses in bioinformatics, data science, statistics, or algorithms. The course is open to bachelor third/fourth-year students, master, and Ph.D. students in computer science, computational biology, statistics, or bioinformatics. Learning outcome After the course, the student should be able to: Understand data characteristics in molecular genomics at DNA, RNA, proteins, etc. Tricks to integrate and process multiple data types Applications in the real world in clinical diagnostics and biodiversity Target group The course is open to bachelor third/fourth-year students, master, and Ph.D. students in computer science, computational biology, statistics, or bioinformatics, biology. Lecturers Andrew Clark, Cornell University, USA Russell Schwartz, Carnegie Mellon University, USA Huanming Yang, BGI genomics, China Soren Brunak, Novo Nordisk Center for Protein research, University of Copenhagen, Denmark Mark Robinson, Swiss Institute for Bioinformatics, Switzerland Ting Wang, Washington University School of Medicine, USA Fabian Theis, Helmholtz AI, Munich, Germany Joachim Weischenfeldt, BRIC, University of Copenhagen, Denmark Shilpa Garg, University of Copenhagen, Denmark Remarks Time: 7 hours per day including breaks and social events General info: Contact: Shilpa Garg, Department of Biology Email: shilpa.garg@bio.ku.dk Organized by the University of Copenhagen, Denmark Price: Free for all students at Danish universities. 265 Euros (corresponding to approx. 300 USD) for online attendance and 440 Euros (corresponding to approx. 500 USD) for participation in-person at the BioCentre for all other students. Please pay by using this link https://science.easysignup.com/232/

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