Streamline your research through the development of reproducible analysis pipelines
When?
October 4-7, 2022
9 am - 5 pm
Where?
Leipzig, Germany
The purpose of the workshop is to introduce the concepts of bioinformatic pipeline development through the context of the open source Workflow Management System (WMS) Nextflow. The participants will be trained in the scripting, configuration and execution of example analysis pipelines based on current industry best-practices, and learn how to share them with other users. Finally, the participants will apply everything they have learned by implementing their own analysis pipelines from the ground up.
By the end of the workshop all attendees will be enabled to build their own scalable, reproducible bioinformatic pipelines which can be run locally, on high-performance computing clusters or even in the cloud. The course layout has been adapted to the needs of beginners in the field of computational biology and allows scientists with little or no background in software development to get a first hands-on experience in this new and fast-evolving area of expertise.
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 for academia and industry.
For an optimal learning experience we carefully prepare our learning materials and example data.
This workshop has been adapted to the needs of beginners in the field of (biological) data analysis and comprises these three course modules:
Adam Nunn (ecSeq Bioinformatics GmbH)
is a PhD student at the Marie Skłodowska-Curie Innovative Training Network 'Epidiverse'. He developed several bioinformatics pipelines using Nextflow for this European network.
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 are biologists or data analysts with no or little experience in developing computational pipelines for data analysis. A superficial understanding of molecular biology (DNA, RNA, gene expression, PCR, ...) is assumed, as examples will be given in the context of this field.
Some familiarity with a command line interface (e.g. Linux, Mac OS X) and a minimal understanding of object-oriented programming (with e.g. Python or Java) is recommended but not required.
Location: Z&P Schulung GmbH, Rabensteinpl. 1, 04103 Leipzig, Germany
Language: English
Available Seats: 25 (first-come, first-served)
Registration Fee: 1359 EUR (excluding VAT)
Opening Date of Registration: March 1, 2022
Closing Date of Registration: September 1, 2022
Workshop: October 4-7, 2022 from 9 am to 5 pm
"This is a fantastic course for beginners planning to self analyse NGS data. The course is well organised and explained in an easy common man language." Winny Varikatt, ICPMR, Westmead Hospital, Australia
"I really enjoyed the nature of the workshop, I felt that everything was very approachable for the attendees to learn even if the experience was lacking. I witnessed some of my classmates who have no experience ask very detailed questions through the course of the workshop, so I think it is a testimonial to how informational the content of the workshop was." Noah Legall, University of Georgia, USA
"It was an interesting course where I could learn a lot. It was not only interesting to see how nextflow itself works, but also very helpful to understand how such pipeline-tools work. Now I will be able to use such pipelines." Cecilia Mittelberger,Laimburg Research Centre, Italy
When you register for this workshop you are agreeing with our Workshop Terms and Conditions. Please read them before you register.
ecSeq Bioinformatics GmbH
Sternwartenstr. 29
D-04103 Leipzig
Germany
Email: events@ecSeq.com