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Old 02-03-2017, 05:18 AM   #1
ecSeq Bioinformatics
Senior Member
Location: Leipzig, Germany

Join Date: May 2012
Posts: 305
Lightbulb 1st Berlin Summer School in NGS Data Analysis 2017

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 NGS data
  • Perform first downstream analyses for studying genetic variation
  • Compare different approaches for differential expression analysis

The purpose of this intense one week summer course is to get a deep 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 students will be enabled to perform important first tasks of NGS data analysis themselves. The layout of the summer school has been adapted to the needs of absolute 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.

In the evenings there will be social events, like a conference dinner, or a guided city tour through Berlin. These are always great networking possibilities for the participants.

Invited Speakers
  • Dr. Anaïs Le Rhun (MPI for Infection Biology; Emmanuelle Charpentier's group)
  • Dr. Dominic Rose (F. Hoffmann-La Roche Ltd)
  • Dr. Alexander Ullrich (Robert Koch-Institut)

Read our detailed course program.

Please feel free to spread the word for this great event and pin the summer school flyer to your institutes notice board

ecSeq Bioinformatics is Europe’s leading provider of hands-on bioinformatics workshops and professional data analysis in the field of Next-Generation Sequencing (NGS).
ecSeq Bioinformatics is offline   Reply With Quote

dna-seq, ngs, rna-seq data analysis

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