Big data challenges in genomics

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

With the recent development in biotechnology, especially next-generation sequencing in genomics, there is an explosion of genomic data generated. The data are big in terms of both volume and diversity. The big data contain much more information and also pose unprecedented challenges in data analysis. In this article, we discuss the big data challenges and opportunities in genomics research. We also discuss possible solutions for these challenges, which can serve as the basis for future research.

Original languageEnglish (US)
Title of host publicationHandbook of Statistics
PublisherElsevier B.V.
DOIs
Publication statusAccepted/In press - Jan 1 2019

Publication series

NameHandbook of Statistics
ISSN (Print)0169-7161

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Keywords

  • Bioinformatics
  • Computational biology
  • Data volume
  • Disease genomics
  • Human genomics
  • Machine learning
  • Next-generation sequencing
  • RNA-Seq

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation
  • Applied Mathematics

Cite this

Xu, H. (Accepted/In press). Big data challenges in genomics. In Handbook of Statistics (Handbook of Statistics). Elsevier B.V.. https://doi.org/10.1016/bs.host.2019.08.002