We cordially invite you to our educational webinar series focusing on:
Bioinformatic Analysis of Single Cell Data
The webinars in this series will cover following topics:
Introduction to bioinformatic analysis of scRNA-seq data
July 18th, 2022, 10 am CEST
Speaker: Adem Saglam
In this webinar, we give an overview of how single-cell data is pre-processed and analyzed. The whole pipeline from fastq files to meaningful results of the downstream analysis will be presented.
- Which tools are used in bioinformatics?
- Where to find ready-to-use pipelines?
- What are good practices for reproducibility of the results?
Pre-processing of scRNA-seq data
July 25th, 2022, 10 am CEST
Speaker: Adem Saglam
In this webinar, we explain the different steps of reads pre-processing.
- What is a fastq file?
- How are reads demultiplexed?
- Which alignment tools are used?
- What are their advantages and disadvantages?
- How are reads assigned to features?
- What is cell calling?
- How is a count matrix obtained?
Downstream analysis of scRNA-seq data – Basics
August 1st, 2022, 10 am CEST
Speaker: Shijing Feng
In this webinar, we go over the different steps of data filtering, normalization, dimensionality reduction, marker gene detection and cell annotation.
- Why is filtering done and which tools are used for data filtering?
- What is dimensionality reduction?
- What are the different methods of dimensionality reduction?
- How are the cell clusters identified?
- How are the marker genes identified?
- What is cell annotation, how it is achieve?
- Which tools exist for cell annotation?
- What is an enrichment analysis?
Downstream analysis of scRNA-seq data – Standard
August 8th, 2022, 10 am CEST
Speaker: Adem Saglam
In this webinar, we discuss about the advanced tools for enrichment and trajectory inference used in single cell analysis.
- What is gene enrichment analysis?
- What is a cell pseudotime trajectory?
- What is RNA velocity? What assumptions is this based on?
Data integration: batch effect correction, multi-omics data
August 15th, 2022, 10 am CEST
Speaker: Stacy Xu
In this webinar, we go over the discussion of the causes of batch effects occurring in single cell RNA-seq data and how to remove them. We discuss on the different methods for data integration coming from multiple layers of information, their pros and cons.
- What is batch effect?
- How can it be removed?
- What is data integration in multi-omics?
Register here
