Date: 4 - 8 October 2027

Timezone: Berlin

Language of instruction: English

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This online course provides a structured, practical introduction to Next-Generation Sequencing data analysis. We discuss the advantages and limitations of current sequencing technologies and explain how they affect data quality, analysis decisions and interpretation.

You will work with a real-life Illumina dataset and move from raw-read quality control through preprocessing and read mapping to alignment inspection and DNA variant calling. The focus is not only on running tools, but also on understanding their output and recognising results that require closer examination.

The course is designed for beginners in NGS bioinformatics. It is suitable for scientists with little or no computer science background who want to gain practical experience and become more confident when working with sequencing data.

All exercises are performed through a browser-based Linux terminal connected to a high-performance cloud computer. No local installation is required. The five-half-day format provides time between sessions to consolidate the material while retaining the interaction of a live course.

The schedule is designed to make live participation possible from both Europe and the Americas. During the course week, each session runs from 1:00 pm to 6:00 pm in Berlin, corresponding to 7:00 am to 12:00 noon on the US East Coast.

Contact: ecSeq Bioinformatics GmbH Sternwartenstr. 29 D-04103 Leipzig Germany Email: [email protected]

Keywords: DNA-seq, RNA-seq, Variant calling

City: Leipzig

Country: Germany

Postcode: 04103

Organizer: ecSeq Bioinformatics GmbH

Eligibility:

  • First come first served

Target audience: Biologists, Molecular Biologists, Biological sciences research students and postdocs who may want to use HPC in their research.Please note that Biochemistry first year graduate students book this course via their Moodle site not here., Pathologists, medical scientists

Capacity: 30

Event types:

  • Workshops and courses

Cost basis: Cost incurred by all

Cost: € 879.0 (EUR)


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