Intensive Training | Courses

We believe in scientists training other scientists through hands-on, one-to-one learning (and teaching).  To train other scientists wishing to learn our tools we have several 'intensives' available each year:

Systems Biology of Disease John Aitchison teaches and coordinates this five day annual course to address the key concepts, approaches and basic tools in systems biology.  The course includes an overview of mass spec proteomics and the application of quantitative proteomics (with a data analysis component), technologies for automating cell biology, programming and gene expression analysis in R, single cell analysis, modeling gene regulatory networks and dynamic modeling of gene networks, and applications of systems approaches to medicine and immunology.  Typically offered in the summers.

Proteomics Informatics. This five-day intensive course to use a suite of open-source software tools designed for the analysis, validation, storage and interpretation of data obtained from large-scale quantitative proteomics experiments using stable isotope labeling method, multi-dimensional chromatography and tandem mass spectrometry.  The course is offered by the Seattle Proteome Center.

Annual retreat.  The retreat provides an opportunity for Center scientists, especially junior scientists to discuss progress, problems and solutions with a large multidisciplinary group of experts. In our considerable experience  the open-discussion stimulates new ideas, approaches and collaborations.

[caption id="attachment_475" align="alignright" width="300"]We are currently developing technology to automate processes on a Gilson robot. We are currently developing technology to automate processes on a Gilson robot.[/caption]

Technical course. Funding permitting.  We would like to coordinate an annual course to more deeply train our scientists and collaborating scientists to use and apply our reagents, technologies and tools.  Our hope is to use this course as a mechanism for greater dissemination of our science to other scientists who may benefit.  We hope the course will also provide a supportive environment for technology development.