Analysis of single cell RNASeq data from 10x Genomics, Leuven
General context
Today it is possible to obtain genome-wide transcriptome data from single cells using high-throughput sequencing (scRNASeq). The main advantage of scRNASeq is that the cellular resolution and the genome wide scope makes it possible to address issues that are intractable using other methods, e.g. bulk RNASeq or single-cell RT-qPCR. These scRNASeq datasets can be used to unravel heterogenous cell populations, for the discovery of new cell types and states, the reconstruction of developmental trajectories and fate decisions, all previously masked in bulk transcriptome analyses. However, to analyze scRNASeq data, novel methods are required and some of the underlying assumptions for the methods developed for bulk RNASeq experiments are no longer valid.
In this course we will discuss some of the advantages and pitfalls of scRNASeq and go through the whole scRNASeq analysis pipeline. We will teach you how to do proper quality control and filtering on gene level and cell level, how to do create tSNE plots, how to get potential markers for a subset of cells ...
Participants should have some experience with R. You can attend the Basic statistics in R training to get sufficient R background.
Trainers
Janick Mathys
Niels Vandamme
Program
Practical info
20 April 2023 - 27 April 2023
Leuven - Campus Gasthuisberg
Herestraat 49
3000 Leuven
Belgium
20 April 2023 - 27 April 2023
Leuven - Campus Gasthuisberg
20 April 2023 - 27 April 2023
Leuven - Campus Gasthuisberg
Please use Parking West - Follow 'Dagcentrum Onco' to get to the O&N buildings. Take the stairs on you left after exiting Parking West. You are now in front of buidling O&N4 and on the left you find O&N5.