Joint SIB and NBIS/SciLifeLab Autumn School
Single Cell Analysis Course
13 - 18 October 2019 - Leysin, Switzerland
 Date
13.10.2019 - 18.10.2019
 Location
Hotel Central Residence & Spa, Leysin, Switzerland.
Arrival: Sunday before 18h
Departure: Friday around 14h30
 Programme
For the full schedule, please go to: Schedule
Sunday
  - ≈17-18h: arrival of the participants, check-in
 
  - Welcome and dinner
 
Monday: Transcriptomics
  - Introductory lecture (Vincent Gardeux)
 
  - Quantification, QC & Normalization (Davide Risso)
 
  - Dimensionality reduction (Paulo Czarnewski)
 
Tuesday: Transcriptomics
  - Batch correction (Panagiotis Papasaikas)
 
  - Clustering - methods overview (Charlotte Soneson)
 
  - Cell fate mapping and trajectories (Wouter Saelens)
 
Wednesday: Transcriptomics
  - Differential expression (Charlotte Soneson)
 
  - Afternoon: Team activity
 
  - Evening: Keynote lecture: Alejandro Sifrim, Laboratory of Reproductive Genomics, KU Leuwen, Belgium.
 
Thursday: Proteomics
  - Transcriptome + proteome (Johan Reimegård)
 
  - Differential abundance and differential state analysis of single cell cytometry data (Mark Robinson & Helena Crowell)
 
Friday: Other omics and integration
  - Data integration methods (Sebastien Smallwood)
 
  - Spatial mapping of scRNAseq (Lars Borm)
 
  - Lineage tracing and scRNA (Maria Florescu)
 
 Learning objectives
After this course you will be able to:
  - use a range of bioinformatics tools to analyze single cell RNA-seq data
 
  - discuss a variety of aspects of single cell RNA-seq data analysis
 
  - understand the advantages and limitations of single cell RNA-seq data analysis
 
 Lecturers
  - Alejandro Sifrim, Laboratory of Reproductive Genomics, KU Leuwen, Belgium
 
  - Åsa Björklund, NBIS, Uppsala University, SciLifeLab, Uppsala, Sweden
 
  - Charlotte Soneson, Computational Biology Group, Friedrich Miescher Institute for Biomedical Research / SIB, Basel, Switzerland
 
  - Davide Risso, Department of Statistical Sciences, University of Padova, Italy
 
  - Helena Crowell, Statistical Genomics, University of Zurich / SIB, Zurich, Switzerland
 
  - Johan Reimegård, NBIS, Uppsala University, SciLifeLab, Uppsala, Sweden
 
  - Lars Borm, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
 
  - Maria Florescu, Hubrecht Institute, Developmental Biology and Stem Cell Research, Utrecht, Netherlands
 
  - Mark Robinson, Statistical Genomics, University of Zurich / SIB, Zurich, Switzerland
 
  - Nadine Zangger, Bioinformatics Core Facility, SIB, Lausanne, Switzerland
 
  - Panagiotis Papasaikas, Computational Biology Group, Friedrich Miescher Institute for Biomedical Research / SIB, Basel, Switzerland
 
  - Paulo Czarnewski, NBIS, Stockholm University, SciLifeLab, Stockholm, Sweden
 
  - Sebastien Smallwood, Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
 
  - Vincent Gardeux, Laboratory of Systems and Genetics, EPFL / SIB, Lausanne, Switzerland
 
  - Wouter Saelens, VIB-UGent Center for Inflammation Research, Gent, Belgium
 
Additional information
Coordination: Björn Nystedt (NBIS/SciLifeLab), Grégoire Rossier (SIB).
Scientific Committe: Åsa Björklund (NBIS/SciLifeLab), Michael Stadler & Charlotte Soneson (SIB and FMI Basel), Vincent Gardeux (EPFL).
For more information, please contact Grégoire Rossier.