Advance your epigenetics research with NGS methods.
2-5 November 2020
The purpose of this workshop is to get a deeper understanding of the use of bisulfite-treated DNA in order to analyze the epigenetic layer of DNA methylation. Advantages and disadvantages of the so-called 'bisulfite sequencing' and its implications on data analyses will be covered. The participants will be trained to understand bisulfite-treated NGS data, to detect potential problems/errors and finally to implement their own pipelines. After this course they will be able to analyze DNA methylation and create ready-to-publish graphics.
By the end of this workshop the participants will:
Check our new course layout.
Our trainers have a proven record of academic and/or industrial experience in NGS data analysis. Because up-to-date expert knowledge is needed to answer your questions and know what is important in the field.
We only use open source tools that are free to use. We try to showcase and compare different tools (e.g. NGS mappers), since not every software fits with every task/question.
For a optimal learning experience we carefully prepare our learning materials and example data. All materials, tools and results created during the course are for take home with you.
This workshop has been redesigned and adapted to the needs of beginners in the field of NGS bioinformatics and comprises this three course modules:
Dr. Helene Kretzmer (Max Planck Institut for Molecular Genetics)
Helene is working on DNA methylation analyses using high-throughput sequencing since 2011. She was responsible for the bioinformatic analysis of MMML-Seq study of the International Cancer Genome Consortium (ICGC). Publications
Dr. Christian Otto (ecSeq Bioinformatics GmbH)
Christian is one of the developers of the bisulfite read mapping tool segemehl and is an expert on implementing efficient algorithms for HTS data analyses. Publications
The target audience is biologists or data analysts with no or little experience in analyzing NGS data. A fundamental understanding of molecular biology (DNA, RNA, gene expression, PCR, ...) is assumed.
A basic knowledge of Linux & Bioinformatics (commandline usage, common commands and tools) is beneficial, but not required. You could prepare yourself with the Learning the Shell Tutorial.
Location: PC-College, Stresemannstraße 78, 10963 Berlin, Germany
Available seats: 25 (first-come, first-served)
Registration Fee: 1359 EUR (excluding VAT)
Travel expenses and accommodation are not covered by the registration fee.
Opening Date of Registration: February 1, 2020
Closing Date of Registration: 15 October 2020
Workshop: 2-5 November 2020 (9 am - 5 pm)
"ecSeq team pays a great attention to equip you to be on your own once back alone in your lab. They are recognized experts on the field and share not only their expertise but also their experience and views. Very valuable." Marc Lamarine, Quartz Bio , Switzerland
"To go from an introduction to methylation to the complete analysis of a published data set in 3 days is an ambitious target and I am delighted that is was so comprehensively achieved. The mix between theory and practical work is very balanced. I highly recommend this course for a strong foundation in the latest methylation analysis methods. The course leaders are experts and so helpful, and to take the operating system, data and commands home at the end of the conference is a huge benefit." Kieran Meade, Teagasc, Ireland
"Very good week of course, very useful for future work on DNA methylation sequencing analysis." Jonathan Landry, EMBL, Germany
When you register for this workshop you are agreeing with our Workshop Terms and Conditions. Please read them before you register.
ecSeq Bioinformatics GmbH