Digital genome is one of the emerging technologies in DNA sequencing, which allows to perform human genome to be sequenced and digitized in minutes and at the cost of only a few hundred dollars. This is specifically more efficient than the first sequencing of the 3.2 billion base pairs of a DNA that make up the human genome, which took many years and cost millions of dollars to completely sequenced. Such continuous advancement in the field of digital genome enables to deliver rapid and cost-effective DNA sequencing for development of personalized medicine and clinical treatment. The Global Digital Genome Market is estimated to be valued at US$ 7,594.8 million in 2018, and is expected to witness a CAGR of 10.9% during the forecast period (2018–2026).
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Increasing Technological Advancement in Digital Genome field is expected to augment the Market Growth
Increasing technological advancements and growing awareness related to use of genomes for diagnosis of diseases such as cancer, diabetes, and Attention Deficit Hyperactivity Disorder (ADHD) are expected to drive growth of the digital genome market. For instance, in February 2018, the National Human Genome Research Institute (NHGRI) launched a strategic planning, which will establish a 2020, vision for genomics research aimed at accelerating scientific and medical breakthroughs. Furthermore, in the development of this strategic planning, the institute will engage experts and diverse public communities to identify diverse areas of genomics, which will expand the novel applications in human health and disease treatments.
Furthermore, Artificial Intelligence and machine learning methods are currently been used for various problems faced by genomics such as annotating genomic sequence elements, identifying splice sites, promoters, enhancers, and positioned nucleosomes. For instance, Sapientia: a clinical genomics analysis platform from Congenica uses algorithms to annotate and priorities variants from whole-exome sequencing to assist in the diagnosis of rare disease.
In December 2017, Google released DeepVariant: an Artificial Intelligence (AI) tool, which uses AI techniques to build more precise picture of any individual’s genome from sequencing data. DeepVariant automatically identifies small insertion and deletion mutations and single base-pair mutations in sequencing data.
In February 2018, the Canadian Genomics Cloud launched an advanced public cloud platform that allows researchers from Canada to securely store, share, and analyze genomics data for further discoveries.
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