University of Cambridge > Talks.cam > Computational and Systems Biology > Genome-wide approaches to study alternative splicing using RNA-seq data

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹ️ Information

Genome-wide approaches to study alternative splicing using RNA-seq data

Download to your calendar using vCal

If you have a question about this talk, please contact Danielle Stretch .

The wealth of available RNA -seq datasets opens great opportunities to address keys questions in the field of alternative splicing. I will start my presentation with a general introduction into alternative splicing and its role in shaping fundamental processes such as cellular differentiation. Zooming in on the unprecedented opportunities that arise from the development of high-throughput RNA sequencing technologies, I will then review different approaches and tools to extract splicing information from genome-wide datasets.

The talk is part of the CCBI seminar series and the DTP graduate course Reviews in Computational Biology, but is open to all attendees.

This talk is part of the Computational and Systems Biology series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Main Lecture Theatre, Trinity Hall, Trinity Lane, Cambridge CB2 1TJ Twenty Years of Human Development: the past and the future of the Human Development Index Cancer Research UK Cambridge Institute, Room 215 A/B

Other talks

Kirk Public Lecture | A proxy window into the beautiful and challenging world of causal attribution Thelocactus Title to be confirmed  Life, death, and the discovery of PDAR: the Pol II Degradation-dependent Apoptotic Response  Rothschild Public Lecture | Forty years of causal inference: Report of a great-grandfather Online Causal Inference Seminar
 

© 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity