RNA-Seq Data Analysis Workshop
Quality Control, Read Mapping, Visualization and Downstream Analyses
Date: 21 - 24 September 2020
Timezone: Berlin
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
- Create diagnostic graphics and statistics
- Compare different approaches for differential expression analysis
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. In the course we will use a real-life RNA-seq 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 new and fast evolving research topic.
Contact: ecSeq Bioinformatics GmbH Sternwartenstr. 29 D-04103 Leipzig Germany Email: [email protected]
Keywords: NGS bioinformatics, RNA-Seq, transcriptomics
Venue: iad Pc-Pool
City: Leipzig
Region: Leipzig
Country: Germany
Organizer: ecseq Bioinformatics GmbH
Eligibility:
- First come first served
Target audience: Biologists, Biologists, Genomicists, Computer Scientists, Molecular Biologists, bioinformaticians, Pathologists, PhD students, postdoc
Capacity: 12
Event types:
- Workshops and courses
Scientific topics: Bioinformatics, Sequencing, Sequence analysis
Operations: Mapping, Sequencing quality control, Alternative splicing prediction, Split read mapping
Activity log