27-30 October 2025
To foster international participation, this course will be held online
The recent advent of Nanopore direct RNA Sequencing allows for the first time to directly sequence full-length, native RNA molecules without the need for retrotranscription or amplification. This
new technology offers remarkable advantages compared to short-read sequencing methods, for example it greatly simplifies the accurate detection and quantification of RNA isoforms, it allows the
measurement of the polyA tail length and also allows the detection of RNA modifications. At the same time, the unique nature of Nanopore data poses various analytical challenges, thus requiring
dedicated tools and new expertise.
This course is structured over 4 days of theoretical and hands-on training and covers the majority of the concepts and challenges commonly faced when analysing direct RNA-Seq data. It will start
from common tasks such as data QC and gene expression quantification and then move on to more advanced topics such as transcriptome assembly, polyA-tail length measurements and RNA modifications
detection.
Note: This year's edition will focus on the new RNA004 chemistry.
This course is intended for an audience of researchers with a certain degree of familiarity with RNA sequencing concepts. While not exclusively directed to attendees with bioinformatics training, the majority of the practicals will make use of command-line tools. Therefore a good level of experience with a *nix environment (e.g. Linux or MacOS) and the shell (e.g. Bash) are required.
The course will be taught over the course of four days, with the fourth day being dedicated to a hands-on session where the participants will be able to perform analyses of
either their own data, on their own server, or data provided by the instructors, on our server.
Day 1: Intro to Nanopore sequencing, Nanopore data structure and RNA004 chem
Day 2: Basecalling, mapping and transcript quantification analysis
Day 3: Tail length and RNA modification analysis
Day 4: Hands-on session (several groups based on participants’ interests)
Day 1. 2-7 PM Berlin time
Introduction to Nanopore Sequencing
- Nanopore sequencing in general: what it is and how it works
- Application of Nanopore sequencing: DNA, cDNA and direct RNA (dRNA-Seq)
- Advantages and disadvantages of dRNA-Seq
- Direct RNA-Seq chemistries (RNA002 and RNA004)
- Types of dRNA seq experiments
Introduction to Nanopore Data
- Format and structure of Nanopore data (fast5 files, etc.)
- From signal to sequence: the basecalling process (theoretical aspects)
- Bioinformatics for Nanopore
Getting ready for the analysis
-Workflow of a dRNA analysis pipeline
-Quality checks
-Demultiplexing
Day 2. 2-7 PM Berlin time
First steps in the analysis of dRNA
-Basecalling
-Converting the raw signal to fastq files with Dorado
Mapping
-Read mapping with minimap2
-Inspection of the reads in IGV
Transcript analysis
-Isoform discovery and quantification with Isoquant
Day 3. 2-7 PM Berlin time
Exploit the native information of dRNA-Seq: tail length and RNA modifications
The potential of single molecule and direct sequencing
-Measure the length of the poly-A tail
-RNA modification detection strategies per position and per read
-Focus on m6A: the new generation of tools
-Concepts of per read analysis
Day 4. 2-7 PM Berlin time
Individual assignments and conclusions
The participants will either analyze their own data under our guidance, or be given a direct RNA-Seq dataset to analyse independently using various techniques learnt during the
course.
The participants will be split into four groups based on their preferences:
1. Analyzing their own data (on their own sever)
2. Analyzing rRNA to find differences in modification levels between two samples
3. Analyzing mRNA to detect m6A-DRACH
4. Analyzing mRNA to detect isoforms of selected genes
Case Studies and future perspectives
We will discuss recent developments in the field (selected publications and technology improvements), as well as future directions the field could develop in.
Sonia is a postdoctoral researcher in the Laboratory of Systems Biology and Genetics at EPFL (Lausanne, Switzerland) led by prof. Bart Deplancke. She obtained
her Bachelor degree in 2015 at Sapienza University of Rome with a thesis on the detection of microRNAs in serum as biomarkers of colo-rectal cancer. In the same University, she obtained her
Master Degree in Genetics and Molecular Biology with a thesis on RNA methylation in leukemia and, during a short stay as visiting student in the Epitranscriptomics lab at Weizmann Institute
of Science (Israel), on RNA methylation in yeast meiosis. In 2018 she joined the Epitranscriptomics and RNA Dynamics lab, Centre for Genomic Regulation (CRG) in Barcelona lead by Prof. Eva
Maria Novoa for an internship in Bioinformatics. She obtained her PhD in the same lab with a thesis on the detection and functional characterization of RNA modifications in neurons, involving
both experimental and computational experience. Besides her research interest, she is also passionate of science dissemination and she has experience in informal education and
teaching bioinformatics.
In 2016 Ivan obtained a Bachelor Diploma in Biochemistry by the Faculty of Chemistry, University of Belgrade, and in 2017 a Master Diploma in Molecular Biology
by the Faculty of Biology, University of Belgrade. Between 2017 and 2018, he did internships at the Luxembourg Centre for Systems Biomedicine, and at KU Leuven in Belgium, for which he was
awarded a fellowship from the European Federation of Immunological Societies. In 2024, he obtained his PhD under the supervision of Dr Eva Novoa at the Centre for Genomic Regulation in
Barcelona, working on the biological relevance of heterogeneous ribosomes. Currently, he is doing a bridging postdoc in the same lab, where he is developing new therapeutic approaches for
rare heart diseases caused by defects in ribosome function.
Cancellation Policy:
> 30 days before the start date = 30% cancellation fee
< 30 days before the start date= No Refund.
Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.