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Raffaele Giancarlo
Chiara Marchiori

Anita Grigoriadis,
Department of Research Oncology, King’s College, London, UK.

Anita Grigoriadis is lecturer in Cancer Bioinformatics at King’s College of London.
She became a lecturer in Cancer Bioinformatics at King’s College London (KCL) in 2013. She received her Master’s degree at the Institute of Molecular Pathology, University of Vienna (Austria) before moving to London (UK) to do her PhD at the Ludwig Institute for Cancer Research (LICR). At the time when omics data was slowly beginning to establish itself in biomedical research, Anita started to work as a postdoctoral bioinformatician on breast cancer genomics at the LICR and at the Breakthrough Breast Cancer Centre(London) under Professor Alan Ashworth. In 2008, she joined the Breakthrough Breast Cancer Research Unit at King’s College London under the leadership of Professor Andrew Tutt, where her bioinformatics interest in researching genomic instability and immune-related features in triple-negative breast cancer started.

Interoperability of clinical, pathological and omics data to execute personalised medicine
Translational research has seen an increasing trend towards omics techniques imaging approaches, in combination with clinical and pathological data. Multifactorial data, both large in sample size and heterogeneous in context, needs to be integrated in a standardised, cost-effective, secure manner so that it can be utilised and searched by researchers and clinicians. Small- to moderate-sized research groups need to find solutions to handle and administer enormous data volumes whilst researching for new discoveries.
Here, I represent solutions to support data management, the integration of digital microscopy and pathology, and illustrate the utility of R-shiny to make high-throughput data searchable.

Winston Hide,
Sheffield Institute for Translational Neuroscience, University of Sheffield, UK, and Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, USA.

Winston Hide is Professor of Computational Biology at University of Sheffield, UK.
Professor Hide graduated in Zoology from the University of Wales (Cardiff) in 1981. He attended Temple University, Philadelphia and graduated with a PhD in molecular genetics in 1991.
In 1992 he performed post doctoral training with Wen Hsuing-Li at the University of Texas, Houston, where he published his first Nature paper and in 1993 went on to train with David Pawson at the Smithsonian Institution National Natural History Museum, in 1994 with Richard Gibbs at the Baylor Human Genome Centre, Houston, and with Dan Davison at the University of Houston. In 1995 he gained industrial experience in Silicon Valley at MasPar Computer corporation as Director of Genomics.
In 1996 Professor Hide founded the South African National Bioinformatics Institute at the University of Western Cape, South Africa and was appointed Professor in 1999.
In 2007, he became visiting Professor of Bioinformatics at Harvard School of Public Health.
In 2008, Hide was the subject of a directed search and became an associate professor at the Department of Biostatistics at Harvard School of Public Health. Also, in 2008 Hide founded the Harvard School of Public Health bioinformatics Core and became Director of the Harvard Stem Cell Institute Center for Stem Cell Bioinformatics.
In 2014, Hide accepted a Chair, and became Professor of Computational Biology, at the Sheffield Institute for Translational Neurosciences within the Department of Neuroscience at the University of Sheffield.
Hide has been awarded the National President’s Award for research in 1998, was elected to membership of the Academy of Science of South Africa in 2007 and also in 2007, won the Oppenheimer Foundation Distinguished Sabbatical Research Fellowship. In 2011, he was the first recipient of the International Society for Computational Biology award for Outstanding Achievement – in recognition of his work for the development of computational biology and bioinformatics in Africa. Hide has now established the Centre for Genome Translation at the University of Sheffield and leads on bioinformatics for the Cure Alzheimer’s foundation Genome Project. His group specialises in target prioritisation, drug repurposing and biomarker discovery in neurodegenerative diseases.

Making genomics Come true: How can we achieve real acceleration of genomics into medicine?
We are now rapidly moving from single human genomes to deca-, centi- and even milligenome projects. With more ways to compare gene variation against a background, comes new methods to select variants and genes for their potential in prediction and impact for a disease. Gene hunting is still very much a fashion and genes represent tempting targets for drug development.
But like David Bowie we need to push the boundaries to embrace the growing realisation that genes work in cohorts and it is the interaction of these cohorts that drive the disease phenotype. Identifying and targeting pathways and processes that drive disease is the new black. To action discovery, we need to address ways in which to benchmark selection of disease genes, pathways and processes. In turn we need to develop more efficient (read less ineffective) ways to select therapeutics that are likely to be acceptable for real health interventions.
The talk will present how we address these challenges through commoning for data sharing, provenance, reproducibility and workflows, benchmarks for assessment of approaches, standardisation for pathway activity, and integrative approaches to discovering the relationships between therapeutic target prioritisation, network topology, pathway interaction, genome variation, disease modelling and drug repurposing.

Raffaele Giancarlo,
Department of Mathematics and Computer Science, University of Palermo, Italy.

Chiara Marchiori,
IBM Research – Zurich, Switzerland.