University of Zurich

BioSymTM - The Computational Systems Biology Learning Network


Access for BioSymTM members and enroled course students.

Please contact Kurt Hanselmann or Christoph Fuchs if you would like to become a contributor to the BioSym Learning Network

Beyond this page you will need:

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Contents
 

BioSymTM - News
BioSymTM - Learning Modules for Systems Biology

BioSymTM is the Systems Biology Learning Environment developed by the Swiss Virtual Campus initiative. It offers interactive bio-modeling training courses.

Its modules incorporate quantitative mathematical approaches into life sciences curricula and familiarize students with the usefulness of modeling biological processes and systems. It introduces students to the craft of model building, shows them how to formulate mathematical relationships and trains them to use simulations skillfully.

Training is primarily based on MATLAB and its toolboxes as well as on other biomathematical software.

The didactical concept is based on blended-learning scenarios, which incorporate web-based training and i-collaboration, and it promotes time independent active participation.

Curricular integration: BioSymTM modules can be used in basic as well as in advanced courses, and individual models can be incorporated into science curricula at institutions with different needs. BioSymTM might also be of interest to institutions that do not have the full capacity to offer courses in Computational Systems Biology.

Additional contributions and suggestions for improvements should be addressed to Kurt.Hanselmann
Design suggestions should be addressed to Christoph.Fuchs

 

BioSymTM Team and Contributors (pdf)

A comment on systems approaches in modern biology by Johnjoe McFadden in The Guardian, May 6, 2005 (pdf)

BioSymTM Flyer (pdf)

 

BioSymTM - Research Training 2008

Analyzing and Modeling Biological Systems

 

Course flyer (pdf)

Course preview (preliminary program, Bio294-2008)

Signing up for Bio294-2008 in OLAT (You will need your student immatriculation number and your uni access password)

 

During this 12 day intensive course students will learn to analyze biological processes and to describe them with mathematical models. The course consists of an introduction section and a research period. We first introduce deterministic models and advance to more complex stochastic models. Data sets from hospitals, from WHO and FAO reports, from pharmaceutical companies and from published research papers are used in individual student projects. The training is based on MATLAB and its toolboxes.

Introduction
During the first week we will introduce a number of modeling approaches, the use of the software tools and accessing data bases. A number of prepared examples and tutorials allow the student to learn the basic approaches.

Prepared models include:

  • Metabolic networks and regulation, metabolome analyses
  • Bio-Thermodynamics applied to metabolic reactions
  • Signal transduction
  • Virulence and pathogenicity
  • Spreading and control of diseases
  • Gene analyses and transfer
  • Viral evolution
  • Kinetics of biochemical reactions
  • Cellular diffusion and mixing
  • Physiological processes
  • Microbial community adaptation

Design your own course
During the research section each participant selects a topic for the development of a model. The topic may be chosen from a selection of published models, or new modeling ideas may be developed. The project results will be published on the course homepage.

Examples of student projects from earlier years include:

  • Epidemics: Lyme-Borreliose, AIDS in Africa, Rabies
  • Cellular regulation: The ErbB signalling pathway
  • Ecology: Buoyancy-dependent movement of Planktothrix rubescens
  • Evolution: The ecological origin of SARS
  • Intestinal physiology: Microbial interactions in the rumen
  • Microbiology: Bacterial chemotaxis
  • Biochemistry: Glycolysis and fermentation in yeast
  • Virology: Within-host HIV dynamics

Practical model development during the research section is guided by experts from mathematics, physics, biochemistry and biology. Interested students should reach a level of modeling skills that will allow them to express biological relationships in mathematically correct form and to simulate them with MATLAB.

Prerequisits: Basic computer skills and knowledge of differential equations and statistics as they are taught in the base study curriculum. An introductory course in biomathematics is recommended.

Credits are awarded for the development, the scientific description and the presentation of the student’s own modeling project (evaluation criteria, pdf).

                 

BioSymTM - Summer School - 2007

COMPUTATIONAL BIOLOGY

AN INTENSIVE TRAINING COURSE IN A RAPIDLY EVOLVING FIELD

Offered by the BioSymTM and SIMOLIFETM Teams of the
Universities of Zürich and Winterthur and the ETH Zürich

Sponsored by Swiss Virtual Campus

 

Time:     August 5 to August 11, 2007
Participants: Students and researchers at the graduate, postgraduate and professional level
Location:  Alpine Lyceum Disentis, GR, Switzerland
 
Application online: Deadline May, 25
Student application forms: Application Process
  Applicant's Statements
  Financial Information
  Submission Check
   
Evaluation forms (for evaluators only) Evaluation

COURSE OBJECTIVES

The purpose of the course is to provide an overview of the many facets of the exciting field of computational biology by bringing together various aspects of a number of biological and mathematical sciences. It is primarily a skills course. Participants will develop mathematical models to solve biological questions.
Since a major goal of the course is to initiate contacts between workers in scientific fields which are not usually combined, it encourages a rapprochement between various areas of biology, biochemistry, biophysics and mathematics and treats them with an interdisciplinary outlook.
 

COURSE DESCRIPTION

Over a period of six days the participants will be exposed to an in-depth treatment of how biological processes can be described in mathematical terms and how biological concepts can be translated into mathematical models. We will employ Matlab-Simulink and other software tools.

This year’s course will focus on seven main themes which are most central to the discipline of computational biology:

  • Growth: Regulation of microbial growth, metabolism and propagation in communities
  • Biofilm formation: Development of single and multispecies biofilms in 1, 2 and 3 dimensions
  • Epidemics: Benefits from livestock vaccination to contain infectious diseases in developing countries, e.g. Brucellosis
  • Virulence and pathogenicity: Within-host HIV dynamics  -  estimation of parameters
  • Ecology and evolution: Definition of microbial diversity; environmental regulation of selection and adaptation; phylogeny
  • Human physiological processes: Glucose-Insulin regulation in the human body
  • Pharmacokinetics: Physiologically based predictions of human pharmacokinetics
  • Antibiotic resistance: Dynamics of resistant infections and influence of control measures within patients, hospitals and communities

We will emphasize these topics but not exclude other biological systems which are of interest to course students.

A core team of biologists, physicists and mathematicians will introduce the topics, and a number of modelers will lead the course research teams. The course will include daily lectures, exercises on pre-designed models and the design of models for ones own research application. Participants will get hands-on experience on designing models for solving current questions relevant to the field, and they will exchange the results of their modelling research via the BioSym platform.

The course will take place at the boarding school associated with the Benedictine monestary in the beautiful mountain town of Disentis. The atmosphere lends itself well to the concentration needed for success in the course.

 

COURSE STRUCTURE

The course comprises short introductory lectures and exercises in the morning and project work in the afternoon and the evening. An important component are literature evaluations and discussions about systems biological concepts. These will be offered during the course as requested by the participants.

Literature evaluations will introduce the participants to the motivation and processes which often underly model constructions. The first day will be primarily devoted to the introduction of the software tools and to biomathematical basics.

The project work is investigative, i.e. we will carry out virtual experiments with the models, and thus discovering the role of model parameters for an entire system. Course research themes will be designed to educate students in current modeling techniques and to encourage independent investigations.

The location offers an atmosphere for intensive studies with full student participation in all aspects of the program for the duration of the course. Proficiency in the English language and basic mathematical skills are essential. Course work begins early in the morning and may typically run late into the evening. Although there will be little time for activities other than course work, past experience has shown that the very intensity of the work encourages long lasting friendships and collaborations among the participants.

 

COURSE RESEARCH PROJECTS OFFERED

On the application form students will be asked to select themes out of a number of course research topics. The course directors will make the final assignments to research projects from the most frequently chosen priorities and optimize the course contents to student needs.

 

PARTICIPANTS

The contents and the academic level are directed towards advanced students enroled in PhD and Special Masters programs as well as professionals who would like to become acquainted with biological modelling.
A maximum of 25 participants will be accepted, a minimum of 15 are needed to run the course.

 

WHAT WILL BE EXPECTED FROM THE PARTICIPANTS

During the course students are expected to

  • actively participate in the lectures and discussions by bringing up topics relating to course themes
  • formulate systems biological problems and search for solutions
  • carefully plan, carry out, document and interpret virtual experiments
  • familiarize themselves with using the software and the pre-designed models for their research topic
  • search for and get acquainted with the relevant literature
  • read recommended papers and translate them into models if appropriate
  • write an electronic summary about their project theme, present the model at the final minisymposium and make it available on the BioSymTM platform.

LOCATION AND TIME
Lodging School dormitories of the Benedictine monestary at Disentis. All meals at the school Cafeteria
Classes Daily at 08.00 in the assigned group rooms of the Disentis Lyceum.
Computer work Exercises and project work in the group rooms. All rooms are equiped with Internet connections and WLAN for your own notebook. Matlab and Simulink licenses are accessible via the terminal server at the Faculty for Mathematics and Natural Sciences (MNF) of the University of Zürich.
Lectures & colloquia Course lecture room or computer laboratories of the Disentis Lyceum.
Field trip Wednesday afternoon will be reserved for a field trip to the meromictic Lago Cadagno in the Piora valley if the weather allows. Special schedule.
Minisymposium:  Presentation of project work results Friday and Saturday morning in the lecture room.

 

COURSE ORGANIZERS
The course is organized by the BioSymTM project group of the University of Zürich. Course instructors and teaching staff are drawn from the BioSymTM team and from other systems biology research groups as well as from applied fields.
   
Advisory committee Barbour, Andrew D. Mathematical Biology, Institute of Mathematics, University of Zürich
  Bonhoeffer, Sebastian Theoretical Biology, ETH, Zürich
     
Coordinator Kurt Hanselmann University of Zürich
     
Teaching team Christoph Fuchs e-Learning coordinator MNF, University of Zürich
  Kurt Hanselmann Microbiology, Institute of Plant Biology / Microbiology, University of Zürich
  Dominik Heinzmann Mathematics, Parasitology, University of Zürich
  Barbara Hellriegel 

Theoretical Biology, Anthropological Institute and Museum, University of Zurich

  Roman Kälin Mathematics, Institute of Mathematics, University of Zürich
  Hansueli Schwarzenbach Physics, Center for Computational Physics, University of Applied Sciences, Winterthur
 

Jakob Zinsstag

Veterinary Medicine, Dept. of Epidemiology and Public Health, Swiss Tropical Institute, Basel
  Others TBA
     
Web scripts, Matlab and Simulink models Stefan Schafroth Physics, ErSt Electronic GmbH and Physics Institute, University of Zürich
 
APPLICATION DETAILS
Admission The admission process for the course is competitive. A maximum of 25 participants are admitted on the basis of their academic or teaching records, demonstrated research and/or teaching interests and abilities, originality, recommendations and career goals as they are related to the course objectives. All applications will be reviewed by the course education committee. If necessary, selection between equally qualified participants will be made according to the time of arrival of the application. Notification of acceptance and further information will be sent to all applicants by the beginning of June.
How to apply Complete the application included with this announcement and submit it via the internet before May 25, 2007 to the Admission Office of the Computational Biology Course (BioSymTM Computational Biology Course Coordinator, University of Zürich, Institute of Mathematics, Winterthurerstr. 190, 8057 Zürich, Switzerland)
Students who would like to apply for financial assistance should supply the appropriate information on the application form.
Selection Please respond to the details asked on the application forms. Your application must contain two names of people, other than a faculty member of the course, who would be able to evaluate your professional experience, your committment to the field of the course, your scientific abilities (creativity, imagination, curiosity, initiative, skills) and your overall potential for success in applying the course contents in your professional career.
Tuition 1600 € for the entire 6 day course. Included are lectures, course assistance, Internet connections, modelling software and other course materials, room (single occupancy, toilet and shower) and full board (breakfast, lunches and dinner). Travel to Disentis and back is the responsibility of the participant. Funds to cover the course costs should come from three sources: employer support; personal investment; course stipend.
Stipends The course is supported by a grant from the Swiss Virtual Campus, and a number of stipends are thus available for students who would not otherwise be able to pay the course fee. The awards will partially cover tuition, room and board, but not travel. If you are a student applying for financial aid, please submit the Scholarship application form ("Financial Information"). Course students who are not Swiss-residents may apply for the stipends as well.
Prerequisites Participants should be relatively experienced in their scientific field. Basic knowledge of biology, chemistry and mathematics are prerequisites for successful participation. We recommend that participants review basics in mathematics before the course. We encourage the use of a personal notebook. It must contain a WLAN card. Students who do not have a notebook or Powerbook MAC can apply for a rental computer for the duration of the course. The organizers will arrange for the rental computer.
Language The course will be taught in English. Proficiency in the English language is an essential prerequisite for participation.
Student credit  3 credits (ECTS) are given for the course (workload: 60 hrs during and 30 hrs before the course). Upon request, the organizers will certify the successful completion of the course, offer an opinion as to the credit value of the program, and suggest an appropriate grade if requested to do so. It is the student`s responsibility to validate these credits at his or her home institution. Students may copy and distribute their certificates as necessary; institutions desiring authentication may contact the organizers.
Insurance Accident and health insurance are the responsibility of the participant. All participants will have to sign a “health insurance memo of understanding” which shows prove of appropriate insurance coverage. The organizers undertake no liability. Course fees do not include insurance coverage.
Visa requirements If you are an accepted foreign applicant who will require a visa for participation in this training program in Switzerland, we will mail the Internet link where you can find the necessary forms and send you a formal invitation letter needed for the visa application. You will then have to apply for the visa through the Swiss embassy in your country.
Information Kurt Hanselmann, swiss | i-research and training, P.O. Box 1206, CH-8032 Zürich, Switzerland,
tel: +41-44-63 48284, fax: +41-44-63 48204, Kurt Hanselmann
Addresses

before and after the course: BioSymTM Computational Biology Course Coordinator, University of Zürich, Institute of Mathematics, Winterthurerstr. 190, 8057 Zürich, Switzerland)

during the course, August 5 to August 11, 2007: BioSymTM Computational Biology Course, Klosterschule Disentis, Postfach 74, CH-7180 Disentis/ Mustér / Switzerland

Conditions Your application will be confirmed by e-mail.
The course costs are to be paid within 10 days after receiving notification of acceptance.
If you withdraw your application before July 1, we will reimburse the paid fee minus 30 € administrative fee. No fees are reimbursed after July 1 unless your reserved place in the course can be filled by someone else. You will then  be charged an administrative fee of € 100.
   

 

Draft Program BioSymTM Computational Biology Summer Course 2007
  Sunday Monday Tuesday Wednesday Thursday Friday Saturday
August 2007 5. 6. 7. 8. 9. 10. 11.
7-8   Breakfast Breakfast Breakfast Breakfast Breakfast Breakfast
8-9           Minisymposium
Project presentations
Minisymposium
Project presentations
continued
9-10          
10-11          
11-12          
12-13 Travel to Disentis Lunch Lunch Lunch Lunch Lunch Lunch
13-14           End of course
14-15           Return from Disentis
15-16          
16-17          
17-18 Check-in,
Welcome
         
18-19 Reception and Dinner Dinner Dinner Dinner Dinner Dinner
19-20              
20-21              
               
Pre-course preparation
30 hrs
  Theory
10 hrs
Exercises
10 hrs
Project work 15 hrs Open discussions 10 hrs Presentations 10 hrs Report
5hrs