RNA Analysis

Bologna University, 2016

Cedric Notredame


In this course, I will start by introducing mainstream next generation sequencing methods. I will then discuss how these methods can be used to sequence, or re-sequence large genomes. I will then introduce RNA-Seq and the systematic sequencing of cell transcriptomes, along with the many challenges it entails, such as gene modeling and isoform quantification. I will then introduce the notion of multiple genome alignment and review existing methods, including some developed in our group. The course will then be focused on Long Non Coding RNAs. I will introduce the latest ENCODE results on this new class of transcripts and present the challenges of homology based annotation for Long Non Coding RNA. Some methods available for this task will described, including the pipeline we developed for the ENCODE companion paper on Long Non Coding RNAs. We will see how this pipeline, and similar tools, can be deployed to produce homology-based annotation of newly sequenced genomes. The last part of the course

Send your Questions to: cedric.notredame@crg.eu

BolognaLECTURENext Generation SequencingL
BolognaLECTUREShort Reads MappingL
BolognaBIBLIOShort Read MappingPP
BolognaLECTUREPairwise Dynamic ProgrammingL
BolognaLECTURESecondary Structure PredictionL
BolognaBIBLIOSecondary Structure PredictionPP
BolognaLECTUREBlast AlgorithmL
BolognaLECTURESearching Non Coding RNAsL
BolognaLECTUREMultiple Sequence Alignment AlgorithmsL
BolognaLECTUREThe T-Coffee AlgorithmL
BolognaLECTUREMultiply Aligning Non Coding RNAs.L


1. Durbin et al., Biological Sequence Analysis, 1999, Oxford Press

This Entire Course Was Automatically Generated Using BED, the Bioinformatics Exercise Database. BED is a freeware available on request Cedric Notredame