Lecture - NGS & Transcriptomics (BIF-NT0004)

Wednesday 12 Jun 2024, 09:30 → 17:00 Europe/Brussels

Arnaud Lavergne (GIGA)

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The GIGA Bioinformatics team is organizing this training for the GIGA community. Academic non-GIGA and Companies are welcomed.

The aim of this training is to give to the participants some theorical knowledge behind the modern technologies for sequencing.

This 1-day session will progressively discuss the aspects of NGS/HTS technologies, focusing on the analysis of these data. We will discuss their application in Transcriptomics, through bulkRNAseq and Single-Cell RNAseq methods.

At the end of this trainings, participants will be able to understand and discuss the key elements/steps to consider in a sequencing projects for Transcriptomics.

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No requirements

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Organization :

1-day session

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Price (HTVA):

- GIGA/Uliege : 100€

- CHU : 115€

- Academic non-Uliege : 140€

- Company/Industry: 200€

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NGS-transcriptomics.pdf

09:30 → 12:00 Introduction to Next Generation Sequencing

Next-Generation Sequencing (NGS), also called High-Throughput Sequencing (HTS), is a technology allowing the massively parallel processing of millions of sequences per run.

During this lecture (~2hrs), we will discuss both the theorical and practical aspects behind this technology. Sample selection, RNA/DNA extraction and library preparation are common steps for different applications of NGS/HTS. We will discuss data analysis, which will be slightly different from an application to another one, while some important steps are similar and fundamental in most NGS/HTS applications. Finally, we will have a first insight into the concept of pipeline and analysis reproductibility.

At the end of the lecture, participants will be familiar with NGS/HTS technology and the different steps associated with a NGS/HTS experiment. They will also understand what are the key elements to consider when starting a NGS/HTS project.

Speaker: Dr Arnaud Lavergne (GIGA)

13:30 → 16:00 Introduction to Transcriptomics

RNA Sequencing (RNASeq) is one of the most famous applications of NGS/HTS technology. It allows the study of gene expression at the genome-wide level.

During this lecture, we will discuss both theorical and practical aspects underlying the classical RNASeq process. We will also cover some variations of the protocol and different alternative methods. Moreover we will explore important steps in a RNAseq data analysis and describe the input/output files involved.

Single-Cell (SC) sequencing allows to study sequencing information at the level of an individual cell. After the individualization of your cells.

We will discuss both theorical and practical aspects underlying the SC sequencing process. We will then discuss further the technology in the context of single-cell RNA sequencing (scRNAseq) and how it differs from "bulk" RNAseq data in terms of data analysis.

At the end of the lecture, participants will be familiar with sequencing technology and its applications in the context of Transcriptomics studies. They will be able to explain the key elements/steps to consider in a bulk/ScRNAseq project.

Speaker: Dr Arnaud Lavergne (GIGA)