SMS scnews item created by Shila Ghazanfar at Thu 12 Oct 2017 0848
Type: Seminar
Distribution: World
Expiry: 14 Oct 2017
Calendar1: 16 Oct 2017 1400-1500
CalLoc1: CPC Seminar Room Level 3
Auth: sheilag@psheilag.pc (assumed)
Statistical Bioinformatics Seminar: Thorne -- Clinical bioinformatics - what does it really take to translate research into practise?
The aim of the statistical bioinformatics seminar is to provide a forum for people
working within the broad area of computation and statistics and their application
to various aspects of biology to present their work and showcase their ongoing
projects. It is intended to foster the exchange of ideas and build potential
collaborations across multiple disciplines.
The seminars will be held on Monday in Charles Perkins Centre Seminar Room
(Level 3, large meeting room). The format of the talk is 30~45 minutes plus
questions.
Monday Oct 16, 2017 (PLEASE NOTE: Special time of 2:00PM)
Speaker: Natalie Thorne (Melbourne Genomics)
Title: Clinical bioinformatics - what does it really take to translate research
into practise?
Abstract: Melbourne Genomics Health Alliance has taken a collaborative,
patient-centred, clinically-driven, evidence-based and sustainable approach
to delivering genomic testing. This year the Alliance has commenced implementing
Victoria's new clinical system for genomics. A platform for bioinformatics
analysis and a tool for variant curation will be among the first components
to be implemented and used for accredited clinical genomic testing by diagnostic
laboratories. Operating within this shared digital system however, presents a
challenge for laboratories to simultaneously coordinate with other diagnostic
laboratories and hospitals, whilst also supporting their own business
requirements for accreditation and continual innovation.
At the heart of diagnostic innovation in genomics is the emerging field of
clinical bioinformatics; combining clinical, diagnostic, analytical, software
and genetic aspects to implementing clinical genomic testing. The field has
two key challenges: first, it is in its infancy and laboratories lack the
support of a mature discipline; second, it demands skills and expertise
predominantly lacking in traditional academia. These include developing
enterprise-grade solutions, complex strategies for organisational change,
multi-stakeholder collaboration, community engagement and rapidly evolving
biotechnology.
Drawing on my experiences working with the Melbourne Genomics and Australian
Genomics Health Alliances, I will discuss the challenges and opportunities
in clinical bioinformatics, including the use of 'implementation science'
for translating research bioinformatics into clinical practice.