Joint SIB / SciLifeLab Autumn School Single Cell Analysis


The course is addressed to PhD students, postdocs, researchers and other employees within life science.

Important dates

  • Application open: June 18
  • Application deadline: September 16


Application and more information can be found at:

https://www.sib.swiss/training/course/2019-10_single-cell

Course coordinators: Björn Nystedt (NBIS/SciLifeLab), Grégoire Rossier (SIB)

Scientific Committe: Åsa Björklund (NBIS/SciLifeLab), Michael Stadler & Charlotte Soneson (SIB and Biozentrum Basel), Vincent Gardeux (EPFL).

Contact information for questions regarding the course:

gregoire.rossier@sib.swiss

Course fee

Course fee includes full course fees, full board accommodation at the hotel and coffee breaks.

  • 250 Swiss Francs for members of the SIB PhD Training Network and for PhD students enrolled at a Swedish University,
  • 600 Swiss Francs for other academics,
  • 1200 Swiss Francs for for-profit institutions.

Course content

This schools aims at training students and young researchers in cutting-edge methodologies about single cell analysis in the various omics. With a mix of lectures and hands-on sessions, supervised by expert speakers / tutors, and in a nice environment and atmosphere, we are convinced that this School will meet your expectations.

The first objective of this school is to provide participants with a broad knowledge of single cell analysis that would enable them to understand its application in general. This would be achieved via the multiple lectures provided by our lecturers throughout the week.

The second objective is to enable participants to apply single cell analysis in their own research. This would be achieved by all the exercises that would follow the theoretical lectures.

The third objective is networking with the lecturers and also the other participants that will most likely share similar interests.

Detailed schedule and course application can be found at:

https://www.sib.swiss/training/course/2019-10_single-cell


Entry requirements

Knowledge / competencies

Students should

  • have intermediate to advanced R skills (able to read, understand and write R scripts),
  • know how to use common R/Bioconductor packages,
  • be familiar with the typical steps involved in a bulk RNA-seq (both experimental and data analysis parts).

Technical

Students should be able to bring their own laptop with R and RStudio installed. A list of required R-packages will be sent before the course and these should be installed prior to the course start.