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Big data challenges in genome informatics

  • Ka-Chun WongEmail author
Letter to the Editor
  • 16 Downloads

Abstract

In recent years, we have witnessed a big data explosion in genomics, thanks to the improvement in high-throughput technologies at drastically decreasing costs. We are entering the era of millions of available genomes. Notably, each genome can be composed of billions of nucleotides stored as plain text files in gigabytes (GBs). It is undeniable that those genome data impose unprecedented data challenges for us. In this article, we briefly discuss the big data challenges associated with genomics in recent years.

Notes

Funding information

The literature review and writing in this paper were substantially supported by three grants from the Research Grants Council of the Hong Kong Special Administrative Region [CityU 21200816], [CityU 11203217], and [CityU 11200218]. The donation support of the Titan Xp GPU from the NVIDIA Corporation is appreciated.

Compliance with ethical standards

Conflict of interest

Ka-Chun Wong declares that he has no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by the author.

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Copyright information

© International Union for Pure and Applied Biophysics (IUPAB) and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.City University of Hong KongKowloonHong Kong

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