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Next-Generation Sequencing Data Analysis: A Practical Introduction (January 28 - 30, 2019 in Munich)
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Advance your research. Understand NGS and analyze sequenced data yourself.
21 - 23 August 2018
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. The participants will be trained on understanding their own NGS data, finding potential problems/errors therein and finally perform their first downstream analysis (variant calling). 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.
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. David Langenberger (ecSeq Bioinformatics GmbH)
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).
Dr. Mario Fasold (ecSeq Bioinformatics GmbH)
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.
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.
Location: cmt GmbH, Hansastraße 32, 80686 München, Germany
Available seats: 20 (first-come, first-served)
Registration Fee: 898 EUR (excluding VAT)
Travel expenses and accommodation are not covered by the registration fee.
Opening Date of Registration: 1 November 2017
Closing Date of Registration: 1 August 2018
Workshop: 21 - 23 August 2018 (9 am - 5 pm)
"The course was very informative and well organized. Everything was clearly explained and very helpful for beginners!" Maria Ines Alvelos, ULB Center for Diabetes Research, Belgium
"The ecSeq workshop on 'Next-Generation Sequencing Data Analysis' was very informative. I have no doubt that I acquired new skills, thus, extended my knowledge of analyzing the big data. I am integrating most of these in my current research analyses. Thank you ecSeq Bioinformatics Team!" Harris Onywera, Center for Genomic Regulation (CGR), Spain
"The workshop was well suited for beginners like me and was very relevant for my work. I think that what I learned will really help me to speed up analyses in the future." Sabine Urban, University Konstanz, 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