Berend Snijder: Catalogue data in Autumn Semester 2021

Name Prof. Dr. Berend Snijder
FieldMolecular Systems Biology
Address
Inst. f. Molekulare Systembiologie
ETH Zürich, HPM H 44
Otto-Stern-Weg 3
8093 Zürich
SWITZERLAND
Telephone+41 44 633 71 49
E-mailsnijder@imsb.biol.ethz.ch
URLhttp://www.snijderlab.org
DepartmentBiology
RelationshipAssistant Professor

NumberTitleECTSHoursLecturers
551-1299-00LIntroduction to Bioinformatics Restricted registration - show details 6 credits4GS. Sunagawa, M. Gstaiger, A. Kahles, G. Rätsch, B. Snijder, E. Vayena, C. von Mering, N. Zamboni
AbstractThis course introduces principle concepts, the state-of-the-art and methods used in some major fields of Bioinformatics. Topics include: genomics, metagenomics, network bioinformatics, and imaging. Lectures are accompanied by practical exercises that involve the use of common bioinformatic methods and basic programming.
ObjectiveThe course will provide students with theoretical background in the area of genomics, metagenomics, network bioinformatics and imaging. In addition, students will acquire basic skills in applying modern methods that are used in these sub-disciplines of Bioinformatics. Students will be able to access and analyse DNA sequence information, construct and interpret networks that emerge though interactions of e.g. genes/proteins, and extract information based on computer-assisted image data analysis. Students will also be able to assess the ethical implications of access to and generation of new and large amounts of information as they relate to the identifiability of a person and the ownership of data.
ContentEthics:
Case studies to learn about applying ethical principles in human genomics research

Genomics:
Genetic variant calling
Analysis and critical evaluation of genome wide association studies

Metagenomics:
Reconstruction of microbial genomes
Microbial community compositional analysis
Quantitative metagenomics

Network bioinformatics:
Inference of molecular networks
Use of networks for interpretation of (gen)omics data

Imaging:
High throughput single cell imaging
Image segmentation
Automatic analysis of drug effects on single cell suspension (chemotyping)
Prerequisites / NoticeCourse participants have already acquired basic programming skills in Python and R.

Students will bring and work on their own laptop computers, preferentially running the latest versions of Windows or MacOSX.
551-1303-00LCellular Biochemistry of Health and Disease Information Restricted registration - show details
Number of participants limited to 20.
4 credits2SV. Korkhov, T. Ishikawa, M. Jagannathan, R. Kroschewski, G. Neurohr, M. Peter, A. E. Smith, B. Snijder, K. Weis
AbstractDuring this Masters level seminar style course, students will explore current research topics in cellular biochemistry focused on the structure, function and regulation of selected cell components, and the consequences of dysregulation for pathologies.
ObjectiveStudents will work with experts toward a critical analysis of cutting-edge research in the domain of cellular biochemistry, with emphasis on normal cellular processes and the consequences of their dysregulation. At the end of the course, students will be able to introduce, present, evaluate, critically discuss and write about recent scientific articles in the research area of cellular biochemistry.
ContentGuided by an expert in the field, students will engage in classical round-table style discussions of current literature with occasional frontal presentations. Students will alternate as discussion leaders throughout the semester, with the student leader responsible to briefly summarize key general knowledge and context of the assigned primary research paper. Together with the faculty expert, all students will participate in discussion of the primary paper, including the foundation of the biological question, specific questions addressed, key methods, key results, remaining gaps and research implications.
LiteratureThe literature will be provided during the course
Prerequisites / NoticeThe course will be taught in English.
551-1415-00LImage-Based Drug Screening in Human Blood for Personalized Medicine Restricted registration - show details
Number of participants limited to 6.

The enrolment is done by the D-BIOL study administration.

General safety regulations for all block courses:
The COVID certificate is mandatory at ETH Zurich.
Only students who have a Covid certificate, i.e. who have been vaccinated, have recovered or have been tested, are entitled to attend courses in attendance.
-Whenever possible the distance rules have to be respected
-All students have to wear masks throughout the course. Please keep reserve masks ready. Surgical masks (IIR) or medical grade masks (FFP2) without a valve are permitted. Community masks (fabric masks) are not allowed.
-The installation and activation of the Swiss Covid-App is highly encouraged
-Any additional rules for individual courses have to be respected
-Students showing any COVID-19 symptoms are not allowed to enter ETH buildings and have to inform the course responsible.
6 credits7PB. Snijder, further lecturers
AbstractImage based screening allows to measure in high throughput the phenotype of millions of individual cells to external perturbations. We have recently shown that image-based screening in human blood can help to find active treatments for patients with blood cancers. In this course we will take the students through the entire workflow (to the extent that biosafety regulations allow it).
ObjectiveTake the students through the entire workflow from experimental design, to screen, to imaging and analysis.
-Learn to design an image-based screening experiment
-Observe human blood sample handling
-Perform immunofluorescence & automated confocal microscopy
-Image analysis and result interpretation
-Result presentation
Literature-Relevant study: https://www.thelancet.com/journals/lanhae/article/PIIS2352-3026(17)30208-9/fulltext
-Editorial commentary: https://www.thelancet.com/journals/lanhae/article/PIIS2352-3026(17)30213-2/fulltext