Advance your research. Understand RNA-Seq analyses challenges and solve them yourself.
2 - 5 March 2020
The purpose of this workshop is to get a deeper understanding in Next-Generation Sequencing (NGS) with a special focus on bioinformatics issues. Advantages and disadvantages of current sequencing technologies and their implications on data analysis will be discovered. You will be trained on understanding NGS data formats and handling potential problems/errors therein. In the course we will use a real-life RNA-seq dataset from the current market leader illumina.
All workshop attendees will be enabled to perform important first tasks of NGS data analysis themselves. The course layout has been adapted to the needs of beginners in the field of NGS bioinformatics and allows scientists with no or little background in computer science to get a first hands-on experience in this new and fast evolving research topic.
Read our detailed course program.
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. Gero Doose (ecSeq Bioinformatics GmbH)
Gero found and published several circularized RNAs in various RNA-Seq experiments. He specialized on split-read analysis some years ago and has a strong expertise in downstream analyses. Publications
Dr. Christian Otto (ecSeq Bioinformatics GmbH)
Christian is one of the developers of the read mapping tool segemehl and is an expert on implementing efficient algorithms for NGS 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.
Location: PC-College, Stresemannstraße 78, 10963 Berlin, Germany
Available seats: 25 (first-come, first-served)
Registration Fee: 1,359 EUR (excluding VAT)
Travel expenses and accommodation are not covered by the registration fee.
Opening Date of Registration: 20 September 2019
Closing Date of Registration: 15 February 2020
Workshop: 2 - 5 March 2020 (9 am - 5 pm)
"Great experience, helpful and approachable instructors, interesting and well organized workshop. This course provided necessary training in NGS that can be used in research projects. Personally, being in the early stages of my undergraduate studies in Molecular Biology and Genetics this workshop really inspired me and expanded my horizons. More specifically, by meeting participants from all around the world who are involved in various fields of science, attending talks from external guest speakers who described their career path and getting to know the instructors of the course who were full of enthusiasm about Bioinformatics, I realized the interconnection between the scientific fields and the different professional options that I could potentially be involved with in the future." Ioanna Gkogka, Molecular Biology and Genetics Democritus University of Thrace, Greece
"The course was designed for people starting their work with RNA-Seq and was very well prepared and led. The information is provided in a clear and accessible manner and, most importantly, from a practical point of view. The trainers have extensive experience and provide valuable insights into the real problems arising from data analysis. I am happy to have had opportunity to attend these workshops. The knowledge and skills acquired during the workshops will be of great help in planning my own experiments and will enable me to start analyze the data on my own. I definately recommend these workshops to anyone planning RNA-seq experiments." Dorota Magner, Institute of Bioorganic Chemistry Polish Academy of Sciences, Poland
"I was particularly impressed with the emphasis on teaching us how to THINK about our analyses, rather than just follow a series of commands. Your focus on anticipating potential sources of error, never blindly trusting that a command or piece of software has done what you think it's done without confirming (as well as teaching us ways to confirm) left us with a skill set that is independent of a particular pipeline, and will serve us well as our interests (and the available software) change. The active exercises were clearly designed extraordinarily carefully and were really effective not just in applying what we'd just learned, but in seeing how you might fall into an analysis/interpretation trap if you are not careful. This really was a mindset/philosophy of analysis training as much as it was practical training, and I value that enormously. Thank you!" Morgan Benowitz-Fredericks, Bucknell University, USA
When you register for this workshop you are agreeing with our Workshop Terms and Conditions. Please read them before you register.
ecSeq Bioinformatics GmbH