Advance your research. Understand de novo transcriptome assembly and differential gene expression analysis.
This workshop focusses on the transcriptome assembly and differential gene expression in non-model organisms. While analyses of model organisms generally rely on a reference genome, studies of non-model organisms usually lack this advantage. Thus, the de novo transcriptome analysis in non-model organisms poses some unique challenges.
All workshop attendees will be enabled to perform important first tasks in de novo transcriptome assembly using short-read next-generation sequencing data and uncover differentially expressed genes 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 adapted to the needs of beginners in the field of NGS bioinformatics and comprises this three course modules:
Dr. Alexander Donath (Zoological Research Museum Alexander Koenig)
Alexander is head of section for Computational Genomics at the Zoological Research Museum Alexander Koenig. Since 2011 he is working on NGS data analysis and de novo assembly of non-model organisms. He is involved in a number of large-scale transcriptome and genome research projects, for example 1KITE and i5k. ...read more
Dr. Mario Fasold (CCR Bio-IT)
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 sequecing data of several large consortium projects.
Dr. Christian Otto (CCR Bio-IT)
Christian is one of the developers of the read mapping tool segemehl and is an expert on implementing efficient algorithms for HTS data analyses.
The target audience is biologists or data analysts with no or little experience in analyzing RNA-Seq data.
Location: iad Pc-Pool, Rosa-Luxemburg-Straße 23, Leipzig, Germany
Available seats: 24 (first-come, first-served)
Travel expenses and accommodation are not covered by the registration fee.
Opening Date of Registration: 1 March 2016
Closing Date of Registration: 1 September 2016
Workshop: 28 - 30 September 2016 (8 am - 5 pm)
Workshop: 5 - 7 October 2016 (8 am - 5 pm)
"Good resume of the last technologies and applications. Definitly will improve the comunication with our bioinformatics colleagues for perfom the proper analysis and understanding of the data. Thanks for an intensive but nice course." Susana Gonzalez Fernandez-Nino, Bayer Crop Science, 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
"Excellently prepared and performed workshop. A lot of information provided." Jakub Mrazek, Czech Academy of Sciences, Czech Republic
When you register for this workshop you are agreeing with our Workshop Terms and Conditions. Please read them before you register.