RNA-seq is a useful sequencing-based technology for identifying a snapshot of the transcriptional output from the cell. It has been used to estimate gene expression levels and estimate the impact of different treatments on gene expression.
A new generation of methods, based upon RNA-seq is gaining exciting insights into RNA:RNA interactions, RNA:protein interactions and RNA structure.
I will be briefly reviewing some of these approaches, and discussing some of the work we are doing and hope to do with these exciting new tools.
Paul has a PhD from Massey University. He completed post-doctoral fellowships in Bielefeld, Germany and Copenhagen, Denmark and worked for 4 years as a Senior Scientist at the Wellcome Trust Sanger Institute in Cambridge, UK. While at the Sanger Institute he ran the Rfam database for annotating non-coding RNAs in genomic sequences. He experimented with a Wikipedia-based model for annotating entities in Rfam, a model that has now been adopted by many other groups. He now runs a bioinformatics research group at the University of Canterbury, where he explores comparative genomics, RNA-seq and TraDIS datasets, he is involved in estimating the functional significance of genetic variation, tries to explain why protein and mRNA expression is poorly correlated and annotates genomes with ncRNAs and RNA motifs. He still gets very excited about RNA.