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Education: Workshop on microRNA Analysis Using Next-Generation Sequencing -- From microRNA profiling and prediction to extensive downstream analyses
Submitted by Adele Feuerstein; posted on Friday, July 01, 2016
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September 21-23, 2016
Berlin, Germany
http://ecseq.com/workshops/workshop_2016-05-small-RNA-Seq-microRNA-analysis-using-next-generation-sequencing
Understand small RNA sequencing analysis issues and solve them yourself.
- Learn the basics of different small non-coding RNAs and their characteristics
- Understand the method of small RNA sequencing
- Find differentially expressed small RNAs
- Perform microRNA gene prediction
- Analyze your small RNAs (microRNA target prediction, functional analysis, etc.)
- Execute popular open-source microRNA tools (miRanallyzer, miRDeep, etc.) on a Windows machine (using a Linux VM)
SCOPE
The purpose of this workshop is to obtain a thorough understanding on the expression profiling of known microRNAs and the prediction of novel microRNA genes using next-generation sequencing technologies (NGS). The participants will be trained to understand both the data analysis aspects of NGS technologies and the functional implications of small RNAs. Downstream analysis to infer the functional implication of the detected microRNAs will be discussed including target prediction/detection and functional analysis. After this workshop, the participants will be able to perform their own microRNA analysis using up-to-date methods and extract scientific valuable findings.
REQUIREMENTS
Basic understanding of molecular biology (DNA, RNA, gene expression, PCR, ...)
TARGET AUDIENCE
Biologists or data analysts with no or little experience in analyzing small RNA-Seq data.
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.
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