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Bioinformatic Analysis of Single Cell Data
Time:2022-07-12 15:50:26  

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?

 

 

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