Cancer Genomes: Methods and Challenges for the Next Decade
Date and time
Location
Anatomy Building, G29 JZ Young Lecture Theatre
UCL Genetics Institute
Department of Genetics, Evolution and Environment, University College London
London
WC1E 6BT
United Kingdom
Description
UCL Genetics Institute (UGI) Symposium
Cancer Genomes: Methods and Challenges for the Next Decade
Registration for the UCL Genetics Institute (UGI) Cancer Symposium is open. This symposium, organised jointly with the UCL Cancer Domain Early Careers Network, invites the cancer genomics community to come together and discuss the upcoming challenges in the analysis of cancer genomes for the next decade. The event will showcase cutting-edge research in the field of cancer genomics, with focus on methodological aspects.
The event is free and open to anyone with an interest in genetics/genomics and cancer.
Already signed up? Tweet us @UGI_at_UCL @UCLCancerECN #UGIcancer
Event programme
11:30 -12:00 Registration, networking and poster mounting (Haldane Hub)
12:00 -13:40 Session 1 (JZ Young LT)
Chair: Maria Secrier, UCL Genetics Institute
12:00 - 12:05 Welcome from symposium organisers
12:05 - 12:50 Peter Campbell, Wellcome Sanger Institute (Keynote)
TBD
12:50 - 13:20 Florian Markowetz, Cancer Research UK Cambridge Institute
A pan-cancer compendium of chromosomal instability
13:20 - 13:30 Sarah McClelland, Barts Cancer Institute, QMUL
Focus on the Individual; The importance of chromosome-specific biology in generating aneuploidy patterns in cancer.
13:30 - 13:40 Heba Sailem, Big Data Institute, University of Oxford
Inference of cancer gene functions from genetic perturbation screens
13:40-14:20 - Lunch, networking and poster presentations (Haldane Hub)
14:20 - 15:50 Session 2 (JZ Young LT)
Chair: Javier Herrero, Bill Lyons Bioinformatics Centre, UCL Cancer Institute
14:20 - 14:50 Trevor Graham, Barts Cancer Institute, QMUL
Measuring selection from cancer genomes
14:50 - 15:20 Giulio Caravagna, Institute of Cancer Research
Measuring subclonal architectures integrating Machine Learning and population genetics
15:20 - 15:50 Alvina Lai, UCL Institute of Health Informatics
A vision for accelerating precision oncology through clinical-genomics resources
15:50 - 16:10 - Break and networking (Haldane Hub)
16:10 - 17:40 Session 3 (JZ Young LT)
Chair: Chris Barnes, Cell and Developmental Biology & UCL Genetics Institute
16:10 - 16:40 Sarah Aitken, Cancer Research UK Cambridge Institute
Pervasive lesion segregation shapes cancer genome evolution
16:40 - 17:10 Nicholas McGranahan, UCL Cancer Institute
Deciphering patterns in cancer genome evolution
17:10 - 17:40 Francesca Ciccarelli, Francis Crick Institute & King's College London
Genetic perturbations driving cancer at single patient resolution
17:40 - 17:45 Concluding remarks
17:45 - 20:00 Drinks reception, posters and networking (Haldane Hub)
Poster presentations
Posters will be located in the Haldane Hub and will be viewable during all breaks and drinks reception. A link to the accepted poster abstracts can be found here.
Attendees
This meeting is open to anyone with an interest in any aspect of Cancer and cancer research, from UCL or other organisations.
If you can no longer attend, please cancel your ticket via Eventbrite or email Maria Secrier.
Organisers
This event is jointly organised by the UCL Genetics Institute and the UCL Cancer Domain Early Careers Network.
Main organisers:
Directions to the venue
Map: https://goo.gl/maps/hpdKHErbGNZqXeHG9
The entrance is through the Anatomy Building on Gower Street. The registration and JZ Young Lecture Theatre are located straight ahead as you enter the building.
Important points to note:
There will be some photography at the event for publicity. In registering for this event you are agreeing that your image may be used in future material used to promote UGI and the UCL Cancer Domain Early Careers Network.
We are collecting your name, email address, job information, and information about any dietary requirements and access requirements in order to administer your event attendance. Your data will be used solely for the purpose of managing the event. Please refer to our Event Attendee Privacy Notice for more information.
Please note that Eventbrite is a third-party service that is not owned or managed by UCL. You should refer to UCL Eventbrite’s terms and conditions of privacy policy as we do not accept any responsibility or liability for their policies.
Eventbrite operates in the USA and subscribes to the EU-US Privacy Shield, which commits subscribers to adhering to European standards of data protection. For further details, please see:
