Online Course - A Practical Introduction to NGS Data Analysis
Quality Control, Read Mapping, Visualization and DNA Variant Analysis
Date: 14 - 16 October 2020
Timezone: Berlin
Advance your research. Understand NGS and analyze sequenced data yourself.
In a nutshell
- Learn the essential computing skills for NGS bioinformatics
- Understand NGS technology, algorithms and data formats
- Use bioinformatics tools for handling sequencing data
- Perform first downstream analyses for studying genetic variation
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. The participants will be trained on understanding their own NGS data, finding potential problems/errors therein and finally perform their first downstream analysis (variant calling). In the course we will use a real-life NGS dataset from the current market leader illumina.
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 fast evolving research topic.
The online course will make use of a web conferencing system. Hands-on NGS analysis will be performed in an interactive browser-based platform. Before the course, you will get a printed manuscript and a USB key by mail.
Contact: ecSeq Bioinformatics GmbH Sternwartenstr. 29 D-04103 Leipzig Germany Email: [email protected]
Keywords: NGS, NGS bioinformatics, DNA-seq, Variant calling
Organizer: ecSeq Bioinformatics GmbH
Eligibility:
- First come first served
Target audience: Biologists, Biologists, Genomicists, Computer Scientists, Molecular Biologists, bioinformaticians, Pathologists, PhD Students, post-docs
Capacity: 15
Event types:
- Workshops and courses
Scientific topics: Bioinformatics, Sequencing, Sequence analysis
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