Festival of Genomics London
ExCeL London
Royal Victoria Dock
London, United Kingdom
Festival of Genomics London
Front Line Genomics
ExCeL London

Royal Victoria Dock


United Kingdom

Schedule of Presentations:

Tuesday, January 30, 2018
06:00:00 New Presentation
06:00:00 New Presentation
10:10:00 Can we fully integrate genomics into the NHS within 5 years? Sobia Raza, Dominic McMullan
10:55:00 Integrating rich biomedical data sets in the era of machine learning & advanced analytics Jane Kaye, Patrick Short, Sofia Olhede, Bissan Al-Lazikani, Paul Agapow
11:00:00 Tracking viruses in space and time Zisis Kozlakidis
11:25:00 Solving the complexity within genomic data analysis with SOPHiA AI
12:00:00 Real-time, Scalable Nanopore Sequencing
13:00:00 Genomics 2017 – This Was Your Year David Smith, Anna Middleton
13:05:00 Autism in the USA: An 18 year journey - A caregiver's perspective from undiagnosed to diagnosed & beyond with genetics
13:10:00 Medicine in the information age Andrew Morris
13:15:00 Building a genetic atlas of (ALL) human population for precision medicine Sean Ennis, Linda Baughn, Damien Lacroix, Eran Elhaik
13:30:00 Making sense of copy number changes Kathryn Jones
13:35:00 Faster results to discovery: adding high-speed data transfer to your cloud applications
13:55:00 Your DNA, your say - public attitudes towards genomic data sharing Anna Middleton
14:00:00 Lawyers, genes, and money: How blockhains can revolutionize genomics (and other 'omics)
14:30:00 Designing software for biologists? Keep it simple stupid!
14:50:00 Improved Quality and reduced effort through automating NGS sample prep
15:15:00 British Heart Foundation Session: Research and delivery in cardiovascular genomic medicine Catalina Lopez-Correa, Krishna Prasad, Ann Daly, Munir Pirmohamed
15:20:00 Omic platforms, molecular libraries, data resources, and AI to unravel disease complexity Chas Bountra
15:40:00 Is clinical genomics financially sustainable
15:45:00 Omics platforms made easy
16:10:00 The Global Alliance for Genomics and Health: Enabling international human data sharing Thomas Keane
21:45:00 What will follow the first one hundred thousand genomes in the NHS? Michael Grant
Wednesday, January 31, 2018
06:00:00 New Presentation
06:00:00 New Presentation
06:00:00 New Presentation
06:00:00 New Presentation
09:35:00 Morning Coffee With Sir John Chisholm
10:00:00 Regulation of genomics and companion diagnostics
10:25:00 What ‘generation genome’ may mean for genetic counsellors Christine Patch
10:35:00 How can you start up and grow a genetics company in the UK? Kath Mackay, Fiona Nielsen, James Peach
10:40:00 Transforming drug discovery and development with an integrated genomics approach Ruth E. March
10:50:00 The Human Cell Atlas: How to build a human Mike Stubbington
11:05:00 A negative result from genomic sequencing: what a genetic counsellor should know
11:15:00 A targeted approach to massively parallel single-cell analysis
11:25:00 Top tips on variant interpretation for counsellors
11:30:00 Genomics and drug discovery John Whittaker
12:50:00 End of the road for short read sequencing?
12:55:00 Finding the needle in the haystack
13:20:00 For patients, with patients: learning from patient experiences to maximise the benefit of clinical genomics Mariana Campos, Beverly Searle
13:35:00 Animal genotyping by NGS: the pitfalls and pearls of an emerging workflow
13:40:00 Leveraging CRISPR/Cas9 to transform drug target discovery Beverley Isherwood
13:50:00 ACGS: Roles in delivering 100KGP and implications for future clinical genomics service Dominic McMullan
14:05:00 ACGS: How Cancer genomes are transforming care
14:50:00 How writing code will realise clinical genomics
15:05:00 Standardisation of variant interpretation and reports
15:15:00 Genome editing: a precision tool for medicine? Sarah Chan, Graham Taylor
15:25:00 Establishing variant pathogenicity in inherited cardiac conditions
15:40:00 Reverse complement PCR: fast, low cost amplicon based NGS
15:55:00 ACGS Session - Question Time Dominic McMullan
22:45:00 Mainstreaming genetics: strife and struggles
3D Tissue Models
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