Bioinformatic analysis of Transposable Elements

Dates

3rd-7th June 2024

 

To foster international participation, this course will be held online

 

General Topic: Evolution of transposable elements and their bioinformatic analysis

Overview

Transposable elements (TEs) are selfish genetic elements which exist in virtually all eukaryotic genomes. Because TEs contain regulatory or coding sequences for their own ‘survival’ and often occur in large numbers within a genome, they can have strong effects on the transcription or the epigenetic regulation of nearby genes and significantly promote structural variation or genome size expansion. The analysis of TEs is thus important for many studies in genomics and evolutionary biology. However, TEs are rapidly evolving due to arms races with their host genomes and thus often remain undetected in newly sequenced genomes. One may argue that in-depth annotation of TEs is currently one of the biggest bottlenecks in genomics research of non-model organisms. Furthermore, their repeatedness makes them challenging to study using conventional bioinformatic tools.  Indeed, computational TE analyses require knowledge of TE biology as well as awareness of the pitfalls  to overcome in diverse applications (genome annotation, TE classification, insertions polymorphism, transcriptomics) . The present course aims to address these challenges by teaching TE biology, computational analyses of TEs in genome assemblies and raw read data (building de-novo TE library, TE quantification, Insertion polymorphism) as well as transcriptomics (differential expression of TE families), and the manual analyses of TEs (consensus curation, classification).

 

Format

At the end of this course, attendants should be able to conduct computational analyses of TEs, interpret the results in the light of TE biology, and improve TE annotations through manual curation. The participants will also have the opportunity to discuss their own projects and receive guidance regarding TE analysis. To achieve this, each day will be composed of lectures on TE biology and practical sessions covering diverse bioinformatic analyses. Each day will be concluded with an informal and facultative open discussion regarding the themes covered in the class. The last day will include a dedicated session where attendees will be able to explore strategies related to their own project and  further refine their  skills in computational and manual analyses of TEs.

Audience

The course is aimed at biologists at any career stage who are new to TE analyses and/or de-novo annotation of the repetitive fraction of non-model genomes.

Requirements

Attendants will need to use the command line (UNIX/Shell on Linux and MacOS, Cygwin on Windows) and a sequence alignment program (e.g., BioEdit, AliView) on their computer. Basic knowledge of these will be helpful but is not required. Attendants are encouraged to bring their own genome assembly raw read and/or transcriptomic data, though this will not be required to take advantage of the training. 

program

Monday - 2-7 pm Berlin time

        Course Introduction

        Lecture 1: “TE diversity and mechanisms”

        Lecture 2: “TE discovery and annotation”

        “TE social club”: open discussion, personal project presentation.


 Tuesday- 2-7 pm Berlin time

        Lecture 3: “TE classification and manual curation”

        Practical 1: Automatic discovery and annotation of TEs

        Practical 2: Manual curation of TE libraries

        “TE social club”: open discussion


  Wednesday- 2-7 pm Berlin time

        Lecture 4: “TEs and genome evolution”

        Practical 3: Insertion polymorphism

        “TE social club”: open discussion


 Thursday- 2-7 pm Berlin time

        Lecture 4: “TEs functional genomics”

        Practical 4: TE expression analysis

        Personal Projects Q&A

        “TE social club”: open discussion

 


Instructors

 

Dr. Clément Goubert

 

Dr. Valentina Peona

 

 

 

Cost overview

Package 1

 

 

480 €


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.