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Big data in cancer genomics

Accepted version
Peer-reviewed

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Authors

Maia, AT 
Sammut, SJ 
Jacinta-Fernandes, A 
Chin, SF 

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 and faster and more efficient data transfer, that must be overcome before personalised medicine finally becomes a reality.

Description

Keywords

31 Biological Sciences, 3105 Genetics, Genetics, Biotechnology, Cancer, Human Genome, Networking and Information Technology R&D (NITRD), Genetic Testing, 4.1 Discovery and preclinical testing of markers and technologies, 4 Detection, screening and diagnosis, 2.1 Biological and endogenous factors, 2 Aetiology, Cancer, 3 Good Health and Well Being

Journal Title

Current Opinion in Systems Biology

Conference Name

Journal ISSN

2452-3100
2452-3100

Volume Title

4

Publisher

Elsevier BV
Sponsorship
Wellcome Trust (106566/Z/14/Z)