Big data in cancer genomics
Accepted version
Peer-reviewed
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Change log
Authors
Abstract
Advances in genomic technologies in the last decade have revolutionised the field of medicine, especially in cancer, by producing a large amount of genetic information, often referred to as Big Data. The identification of genetic predisposition changes, prognostic signatures, and cancer driver genes, which when mutated can act as genetic biomarkers for both targeted treatments and disease monitoring, has greatly advanced our understanding of cancer. However, there are still many challenges, such as more sophisticated analysis tools and higher processing capacity, along with cheaper storage, faster and more efficient data transfer, that must be overcome before personalised medicine finally becomes a reality.
Description
Keywords
31 Biological Sciences, 3105 Genetics, Biotechnology, Genetic Testing, Prevention, Cancer, Human Genome, Data Science, Cancer Genomics, Women's Health, Networking and Information Technology R&D (NITRD), Genetics, Precision Medicine, 4.1 Discovery and preclinical testing of markers and technologies, 2.1 Biological and endogenous factors, Cancer, 3 Good Health and Well Being
Journal Title
Current Opinion in Systems Biology
Conference Name
Journal ISSN
2452-3100
2452-3100
2452-3100
Volume Title
4
Publisher
Elsevier
Publisher DOI
Rights and licensing
Except where otherwised noted, this item's license is described as http://www.rioxx.net/licenses/all-rights-reserved
Sponsorship
Wellcome Trust (106566/Z/14/Z)
