Location & dates EMBL Heidelberg, Germany 28 Sep - 2 Oct 2020 Register interest
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Coronavirus information for participants

The onsite course and conference programme at EMBL has been paused until the end of June 2020.


We aim to continue offering our advanced training for the scientific community however we safely can. While some events have been cancelled, many have been rescheduled for a later date and others will be delivered as virtual events.


Registration is open for onsite courses and conferences starting after 1 July and for the virtual events. All registration fees for any events which don’t take place due to the COVID-19 disruption are fully refundable.


More information for participants of events at EMBL Heidelberg can be found here.

Due to the coronavirus pandemic, the course which was supposed to take place on 8 – 12 Jun was postponed until 28 Sep - 2 Oct. Accepted participants for the postponed course have until 10 April to confirm their spot. If any places remain, we will re-open registration. If you are interested in receiving more information, please register your interest.

Course Overview

This course will teach the biological researchers how to analyse biological data sets using open-source software. Most of the analysis will be performed with docker4seq package, which was developed to facilitate the use of computing demanding applications in the field of NGS data analysis. Docker4seq package uses docker containers that embed demanding computing tasks (e.g. short reads mapping) into isolated containers. This approach provides multiple advantages: the user does not need to install all the software on its local server, the results generated by different containers can be organised in pipelines and reproducible research is guarantee by the possibility of sharing the docker images used for the analysis.

Computers for hands-on exercises will be provided along with demo data sets.

Audience

This course was developed for biological researchers as the intended audience. Basic knowledge of massively parallel sequencing (MPS) is desirable, however R-coding skills and deep knowledge of statistics are not necessary.

Modules

  • Tools for RNA-seq data analysis

  • Experimental design

  • Quality control

  • Normalisation and data reformatting

  • Basic statistics

  • Selecting differentially regulated genes/microRNAs

  • Selecting alternative splicing events

  • Multiple testing

  • Biological interpretation

Learning Outcomes

  • Understand the importance of experimental design in order to ask sensible biological questions

  • Assess the quality of your data

  • Perform normalisation and reformatting procedures

  • Complete basic statistical tests on Next Generation Sequencing (NGS) data

  • Understand some of the problems encountered when analysing data

What Past Participants Say about the Course:

“My research focus is on RNA sequencing, infectious diseases and next generation sequencing. Attending this course helped me understand the basics, got me career advice and extended my network. Overall, it made me a better researcher.” - Abhay Deep Pandey, Translational Health Science And Technology Institute, India

"Excellent course on the complete spectrum of RNA-Seq. I would highly recommend this course to all biologists." - Issaac Rajan, King Abdullah University of Science and Technology, Saudi Arabia

 

EMBL Courses and Conferences are kindly supported by our Corporate Partnership Programme

Founder partners

  • Leica logo
  • Olympus logo

Corporate partners

  • 10x Genomics_120x82
  • Becton Dickinson logo
  • Bio-Rad logo
  • Boehringer Ingelheim logo
  • Eppendorf logo
  • GSK logo
  • Milteniy Biotec logo
  • Stilla logo
  • ThermoFisher logo

Associate partners

  • Merck logo
  • New England Biolabs logo
  • Nikon logo
  • Promega logo
  • Roche logo
  • Sanofi logo
  • Sartorius logo