Posts Tagged ‘RNA’

VIZBI 2014 tutorial – ‘Compute, visualize and explore the folding landscape of your favorite RNA molecule with Assemble2’

Tuesday, January 7th, 2014

Understanding the biological functions of an RNA molecule is tightly linked to the comprehension of its folding abilities. The folding process for an RNA molecule is achieved through the establishment of secondary and tertiary structures. Both states are interconnected and made with complex biological objects that need adapted visualization tools for their interactive exploration.

In this tutorial, Fabrice Jossinet will expose the basic principles of RNA architectures and illustrate them with Assemble2. You will also practice with Assemble2 in order to reveal the folding properties of your RNA molecule. Among the different features that are available with Assemble2, you will more precisely learn how to:
• Combine bioinformatics predictions and experimental data (structure probing, NGS reads,…) to quickly identify the best candidates for a secondary structure.
• Identify the consensus secondary structure for a set a related/orthologous RNA molecules.
• Annotate a solved tertiary structure into a secondary one that can be used as a 3D exploration guide.
• Edit an RNA secondary structure interactively to fit your experimental data and/or hypothesis.
• Derive a new tertiary structure from a solved one using an user-driven mutagenesis approach (deletion, insertion and/or substitution of single residues).
• Use an RNA secondary structure to query a database of recurrent RNA 3D motifs extracted from solved structures.
• Construct a 3D model from scratch for an entire RNA molecule or domain.

VIZBI 2013 – ‘Visualising Transcript Data’ videos now available

Monday, December 16th, 2013

The videos from the second VIZBI 2013 session focusing on visualisation of transcript data are now available at http://vizbi.org/videos. The first talk by Paul Gardner is focusing on the challenges of visualising RNA structures and alignments with particular emphasis on Rfam database, a collection of non-coding RNAs, structured cis-regulatory elements and self-splicing RNAs. The topic or data reliability and co-relation of anti-sense RNA sequences is then discussed by Gisela Storz. She demonstrates that RNA-seq data across different experiments and from various sources can often be riddled with discrepancies and lack of overlap. She argues that, while the majority of RNA-seq data is robust and reliable, low abundance transcripts can be difficult to account for and the variations in experimental as well as computational conditions can lead to vastly different data. In the final talk of the session, Cole Trapnell talks about isoform-resolution analysis of RNA-seq. RNA-seq is an assay used to determine the abundance of RNA transcripts in a transcriptome, the results of which can be used for gene discovery and expression analysis. Cole highlights the inherent challenges associated with the analysis of isoform-resolution data and proposes several different areas that are open for improvement.