8th - 10th January 2014

Helsinki, Finland

Program

Tuesday 7.1.2014

Coffee

BOOKED OUT! 12:00-15:00 Additional hands-on tutorial 3: RNA-seq data analysis using Chipster (Eija Korpelainen) This tutorial covers quality control (FastQC and PRINSEQ), alignment (TopHat) and quantification (HTSeq) as well as differential expression analysis (edgeR and DESeq) and genome browser visualization. The user-friendly Chipster software is used in the exercises, so no previous knowledge of Unix or R is required and the tutorial is thus suitable for everybody.

Wednesday 8.1.2014 Registration and coffee

1. 10:00 Welcome (Eija Korpelainen, CSC)

Session I: Quality control and alignment

1. 10:15-11:05 Quality checking and pre-processing your RNA-seq data (Mikael Huss, SciLifelab, Sweden)
2. 11:05-12:00 Systematic evaluation of spliced aligners for RNA-seq (Pär Engström, SciLifelab, Sweden)

Lunch

Session II: Reliability of RNA-seq, differential expression analysis

1. 13:00-13:45 Reliability and interpretation of RNA-Seq expression profiles (Pawel Labaj, BOKU, Austria)
2. 13:45-14:20 Transcript isoform expression and differential expression estimation with BitSeq (Antti Honkela, University of Helsinki, Finland)
3. 14:20-15:00 Comparison of differential expression analysis tools (Laura Elo, University of Turku, Finland)
4. Coffee

BOOKED OUT! 15:00-18:00 Hands-on tutorial 1: Differential expression analysis using R/Bioconductor and Unix (Mikael Huss, Pär Engström) This hands-on session covers quantification and differential expression analysis of RNA-seq data. The analysis tools used in the exercises include command line applications and Bioconductor packages such as Cuffdiff and DESeq2, so participants need to be familiar with Unix and R.

This workshop consists of two lecture days and four hands-on sessions. More information and registration can be found here.

Speakers

• Mikael Huss (SciLifelab, Sweden): Quality checking and pre-processing your RNA-seq data
• Pawel Labaj (BOKU, Austria): Reliability and interpretation of RNA-Seq expression profiles
• Pär Engström (SciLifelab, Sweden): Systematic evaluation of spliced aligners for RNA-seq
• Panu Somervuo (University of Helsinki, Finland): Introduction to transcriptome assembly
• Ari Löytynoja (University of Helsinki, Finland): Targeted assembly of RNA-seq data using phylogenetic information
• Laura Elo (University of Turku, Finland): Comparison of differential expression analysis tools
• Antti Honkela (University of Helsinki, Finland): BitSeq - transcript isoform expression and differential expression estimation from RNA-seq data
• Garry Wong (UEF, Finland): An introduction to small RNA sequence analysis with applications in nematodes
• Andreas Gisel (ITB, Italy): smallRNA data analysis and miRNA discovery in plants and mammalians
• Angel Rubio / Ander Muniategui (CEIT, Spain): Joint analysis of miRNA and mRNA expression data