iRNA – COSI ’21

ISMB 2021, Virtual

The Integrative RNA Biology group (iRNA) would like to invite you to the 18th edition of the ISMB iRNA-COSI
meeting. Join us to learn more about RNA biology and the computational challenges involved.

Please save the date: July 28th  to 30th

Travel support and poster winner prize sponsored by the RNA Society

The integrative RNA biology (iRNA) meeting at ISMB brings together computational and experimental experts that drive new advances in RNA biology and overcome the computational challenges involved.

Don’t forget to submit your research & become a part of this exciting conference!
Abstract Deadline: May 06, 11:59 PM ET
Deadline for poster only abstract submission: June 3rd

Submit here!

Yue Wan

Dr. Wan’s group aims to understand how RNA structure contributes to RNA function during development and in diseases. The group utilizes and develops new high throughput sequencing technologies and analytics to study RNA structure and dynamics in a genome-wide manner.

Manuel Irimia

The research in Prof. Irimia’s group tries to answer two fundamental questions: (i) how we develop into an organism formed by billions of perfectly organized cells from a single-cell zygote during embryo development, and (ii) how we have evolved from our invertebrate ancestors over the last 500 million years of evolution. For this, his lab focuses on the role that transcriptome diversification through alternative splicing and whole genome duplication plays in vertebrate development and evolution. They combine multiple approaches, from in vivo studies using animal models to high throughput computational analyses.

Kathi Zarnack

Dr. Zarnack’s group focuses on the computational integration of multi-omics data to resolve the regulatory principles of RBP function in RNA-regulatory processes including alternative splicing and polyadenylation, translation and RNA localisation, with a particular interest in clinically relevant scenarios. Our work builds on custom solutions and pipelines for fast and efficient data analysis.

Liang Huang

Prof. Huang’s computational biology research focuses on efficient algorithms for RNA folding and RNA design. In particular, his group developed the first linear-time algorithms for global RNA folding (LinearFold) and RNA partition function calculation (LinearPartition). Since the outbreak of the COVID-19 pandemic, these algorithms have proved to be useful for the full-genome study of SARS-CoV-2 which has ~30,000 nucleotides. He then went on to develop efficient algorithms to design better mRNA vaccine sequences, which have been shown to improve neutralizing antibody titration by about 30x in vivo. Finally, his group also develops linear-time algorithms for homologous folding, which can scale to the full-length SARS-CoV-2 genome and finds potential targets for therapeutics and diagnostics for COVID-19.

The registration for the meeting is done through the ISCB conference portal.

A plethora of useful information regarding fees and bonuses can be found here.

iRNA COSI will run July 28-30

The schedule is available here.

The complete iRNA Group schedule is also available on the ISMB website.

Coming Soon