Computational Strategies for Scalable Genomics Analysis.

Abstract:

:The revolution in next-generation DNA sequencing technologies is leading to explosive data growth in genomics, posing a significant challenge to the computing infrastructure and software algorithms for genomics analysis. Various big data technologies have been explored to scale up/out current bioinformatics solutions to mine the big genomics data. In this review, we survey some of these exciting developments in the applications of parallel distributed computing and special hardware to genomics. We comment on the pros and cons of each strategy in the context of ease of development, robustness, scalability, and efficiency. Although this review is written for an audience from the genomics and bioinformatics fields, it may also be informative for the audience of computer science with interests in genomics applications.

journal_name

Genes (Basel)

journal_title

Genes

authors

Shi L,Wang Z

doi

10.3390/genes10121017

subject

Has Abstract

pub_date

2019-12-06 00:00:00

issue

12

issn

2073-4425

pii

genes10121017

journal_volume

10

pub_type

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