Abstract

Small Non-coding RNAs (ncRNAs) play a vital role in many cellular processes such as RNA splicing, translation, gene regulation. The small RNA-seq is a type of RNA-seq in which RNA fragments are size selected to capture only short RNAs. One of the most common applications of the small RNA-seq is discovering novel small ncRNAs. Mapping the small RNA-seq data reveals interesting patterns that represent the traces of the small RNA processing.

About This Material

This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.

Questions this will address

• What do the read profiles of small non-coding RNAs represent?
• How to cluster the read profiles based on some intrinsic features?

Learning Objectives

• Difference between mRNA-seq and smallRNA-seq
• Unsupervised grouping of the adjacent reads into read profiles
• Look and learn what the shapes of the read profiles represent
• Clustering of the read profiles by machine learning algorithm