Analysis of single cell RNASeq data from 10x Genomics, Ghent
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methods are required and some of the underlying assumptions for the methods developed for bulk RNASeq experiments are no longer valid.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
Janick tries to help VIB scientists analyze their data by offering bioinformatics training and support. Next to organizing trainings, creating e-learning courses and teaching statistics, R, Python, Linux, HPC, bulk and single cell RNA-Seq analysis, she consults scientists and develops pipelines for omics analyses. Before joining VIB, she worked as a post-doc at KULeuven, doing research on transcriptomics and transcription regulation. She coordinated the Master of Bioinformatics program of KULeuven and taught the course on Biological Databases.
Niels Vandamme
Niels Vandamme heads the VIB Single Cell Core to cover complete experimental and computational workflows for single cell multi-omics. During his PhD, he studied heterogeneity and population dynamics in neural crest biology and cancer cell plasticity, using in vitro systems and genetically engineered mouse models at a single cell resolution. During his postdoctoral training, he gained expertise in computational models to analyze high-throughput single-cell data.
Program
Practical info
05 May 2022 - 06 May 2022
Ghent - VIB/UGent FSVM II
Technologiepark 75
9052 Zwijnaarde
Belgium
05 May 2022 - 06 May 2022
Ghent - VIB/UGent FSVM II
From Ghent Sint-Pieters station, you can take a bus to Technologiepark. Please check Routeplanner De Lijn for schedules.
05 May 2022 - 06 May 2022
Ghent - VIB/UGent FSVM II
Looking for a custom cycling route? Try the online cycling route planner to easily and quickly identify the fastest, safest and/or most scenic route to any destination in Ghent.
Cycling route planner
Shared bicycles:
Several providers are active in the area.
Take a look at their platforms:
- Indigo Weel Pro app
- Bluebike
- DOTT
- BOLT eBikes
- Donkey Republic
There are also some public bicycle pumps at the park.
05 May 2022 - 06 May 2022
Ghent - VIB/UGent FSVM II
There is only one entrance to Technologiepark. At the entrance, please take a ticket - Parking is only allowed in regular parking spots (for instance in front of the building) and in the parking tower. Parking alongside the roads or in other places where there is no regular parking is prohibited.