Advance your research. Understand RNA-Seq analyses challenges and solve them yourself.
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.
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)
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. David Langenberger (ecSeq Bioinformatics)
David started working with small non-coding RNAs in 2006. Since 2009 he uses NGS technologies to investigate these short regulatory RNAs as well as other targets. He has been part of several large NGS projects, for example the International Cancer Genome Consortium (ICGC). Publications
Dr. Mario Fasold (Seamless NGS)
Mario works in the analysis of microarray data since 2007 and developed several bioinformatics tools such as the Bioconductor package AffyRNADegradation and the Larpack program package. Since 2011 he specialized in the field of NGS data analysis and helped analysing sequencing data of several large consortium projects. 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: iad Pc-Pool, Rosa-Luxemburg-Straße 23, Leipzig, Germany
Available seats: 20 (first-come, first-served)
Registration Fee: 1,298 EUR (excluding VAT)
Travel expenses and accommodation are not covered by the registration fee.
Opening Date of Registration: 1 Juli 2017
Closing Date of Registration: 1 October 2017
Workshop: 09 - 12 October 2017 (9 am - 5 pm)
"Good resume of the latest technologies and applications. It definitely improves the communication with our bioinformatics colleagues to perfom the proper analysis and understanding of the data. Thanks for an intensive but nice course." Susana Gonzalez Fernandez-Nino, Bayer Crop Science, Germany
"The workshop provided a great introduction into the analysis of NGS data for me as a wet lab biologist. The one day introduction into Linux was an absolute asset. Thanks to the course, I now feel comfortable both to discuss my NGS analysis needs with a bioinformatician more competently, but also to take first steps in NGS analyses myself." Tobias Schmid, Goethe-University Frankfurt, Germany
"Very valuable workshop which improved my bioinformatics understanding a lot and provided interesting aspects, I will put more focus on while analyzing our own data." Corinna Streitner, KWS Saat AG, Germany