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 language | English (US) |
|---|---|
| Title of host publication | Handbook of Statistics |
| Publisher | Elsevier B.V. |
| DOIs | |
| State | Accepted/In press - Jan 1 2019 |
Publication series
| Name | Handbook of Statistics |
|---|---|
| ISSN (Print) | 0169-7161 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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
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