RNA-Seq Data Analysis Workshop
Quality Control, Read Mapping, Visualization and Downstream Analyses

Advance your research. Understand RNA-Seq analyses challenges and solve them yourself.

In a nutshell

  • Learn the essential computing skills for NGS bioinformatics
  • Understand NGS analysis algorithms (e.g. read alignment) and data formats
  • Use bioinformatics tools for handling RNA-Seq data
  • Compare different approaches for differential expression analysis

When?
23 - 26 October 2018

Where?
Leipzig, Germany

46 votes

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.

Get trained by experts

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.

Open source NGS tools

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.

Learn effectively with well-curated materials

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:

  1. Linux for Bioinformatics:
    This module will introduce the essential tools and file formats required for NGS data analysis. It helps to overcome the first hurdles when entering this (for NGS analyses) unavoidable operating system.
  2. Introduction to NGS data analysis:
    Different methods of NGS will be explained, the most important notations be given and first analyses be performed. This course covers essential knowledge for analysing data of many different NGS applications.
  3. RNA-seq Data Analyses: In this module different bioinformatics tools for RNA-seq alignment will be described and tested. We then apply and compare the various approaches for differential expression analysis using RNA-Seq.

Detailed Course Program


Linux for Bioinformatics

  • Introduction to the command line and important commands
  • Combining commands by piping and redirection
  • Introduction to bioinformatics file formats (e.g. FASTA, BED, VCF, WIG) and databases (e.g. UCSC, ENSEMBL)
  • Usage of important bioinformatics toolkits (BEDtools, UCSCtools)
  • Introduction to R

Introduction to NGS data analysis

  • Introduction to sequencing technologies from a data analysts view
  • Raw sequence files (FASTQ format)
  • Preprocessing of raw reads: quality control (FastQC), adapter clipping, quality trimming
  • Introduction to read mapping (Alignment methods, Mapping heuristics)
  • Read mapping (BWA, Bowtie2, STAR, segemehl)
  • Mapping output (SAM/BAM format)
  • Usage of important NGS toolkits (samtools, BEDtools)
  • Mapping statistics
  • Visualization of mapped reads (IGV, UCSC)

RNA-seq Data Analyses

  • Understand split-read mapping
  • Run different split-read mappers (tophat, segemehl, STAR)
  • Understand the Tuxedo Suite (cufflinks, cuffcompare, cuffmerge, cuffdiff, etc.)
  • Predict new transcripts/isoforms using cufflinks/cuffmerge
  • Quantify exons/genes/transcripts
  • Predict
    • Differential exon usage using DEXseq
    • Differential gene expression using DEseq
    • Differential isoform expression using cuffdiff

Speakers

Dr. Gero Doose (ecSeq Bioinformatics GmbH)
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 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). Publications

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. Publications

Requirements

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.

  •   Course materials
  •   Catering during the workshop
  •   Conference dinner
  •   High-performance workstations (no laptop needed)
  •   USB-Stick for taking home results and analysis

Attendance

Location: iad Pc-Pool, Rosa-Luxemburg-Straße 23, Leipzig, Germany
Language: English
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.

Travel Information - Leipzig

Key dates

Opening Date of Registration: 1 November 2018
Closing Date of Registration: 1 October 2018
Workshop: 23 - 26 October 2018 (9 am - 6 pm)

"The course was designed for people starting their work with RNA-Seq and was very well prepared and led. The information is provided in a clear and accessible manner and, most importantly, from a practical point of view. The trainers have extensive experience and provide valuable insights into the real problems arising from data analysis. I am happy to have had opportunity to attend these workshops. The knowledge and skills acquired during the workshops will be of great help in planning my own experiments and will enable me to start analyze the data on my own. I definitely recommend these workshops to anyone planning RNA-Seq experiments." Dorota Magner, Institute of Bioorganic Chemistry Polish Academy of Sciences, Poland

"As someone who was previously terrified of the command line, this was a terrific course to build confidence in navigating the terminal. Moreover, I walked away with a much deeper understanding of sequencing chemistry and the relative merits of different software packages for analyzing different types of sequencing data. I highly recommend this course for any wet lab biologist whether at the student, postdoc, or PI level!" Alexandra McCorkindale, Max Delbrück Center for Molecular Medicine, Germany

"I was particularly impressed with the emphasis on teaching us how to THINK about our analyses, rather than just follow a series of commands. Your focus on anticipating potential sources of error, never blindly trusting that a command or piece of software has done what you think it's done without confirming (as well as teaching us ways to confirm) left us with a skill set that is independent of a particular pipeline, and will serve us well as our interests (and the available software) change. The active exercises were clearly designed extraordinarily carefully and were really effective not just in applying what we'd just learned, but in seeing how you might fall into an analysis/interpretation trap if you are not careful. This really was a mindset/philosophy of analysis training as much as it was practical training, and I value that enormously. Thank you!" Morgan Benowitz-Fredericks, Bucknell University, USA



When you register for this workshop you are agreeing with our Workshop Terms and Conditions. Please read them before you register.


Any Questions? Please feel free to contact our events team.

ecSeq Bioinformatics GmbH
Sternwartenstr. 29
D-04103 Leipzig
Germany
Email: events@ecSeq.com