Applications of bioinformatics in molecular epidemiology

ZHANG Ding; ZHAO Ya-shuang

doi:10.16462/j.cnki.zhjbkz.2021.01.005

Volume 25 Issue 1

Jan. 2021

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ZHANG Ding, ZHAO Ya-shuang. Applications of bioinformatics in molecular epidemiology[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(1): 20-24. doi: 10.16462/j.cnki.zhjbkz.2021.01.005

Citation:

ZHANG Ding, ZHAO Ya-shuang. Applications of bioinformatics in molecular epidemiology[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(1): 20-24. doi: 10.16462/j.cnki.zhjbkz.2021.01.005

ZHANG Ding, ZHAO Ya-shuang. Applications of bioinformatics in molecular epidemiology[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(1): 20-24. doi: 10.16462/j.cnki.zhjbkz.2021.01.005

Citation:

ZHANG Ding, ZHAO Ya-shuang. Applications of bioinformatics in molecular epidemiology[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(1): 20-24. doi: 10.16462/j.cnki.zhjbkz.2021.01.005

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Applications of bioinformatics in molecular epidemiology

doi: 10.16462/j.cnki.zhjbkz.2021.01.005

ZHANG Ding,
ZHAO Ya-shuang^,

Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin 150081, China

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Corresponding author: ZHAO Ya-shuang, E-mail: zhao_yashuang@263.net
Received Date: 2020-12-20
Rev Recd Date: 2020-12-26
Publish Date: 2021-01-10

Abstract

Abstract

Molecular epidemiology mainly studies the occurrence and development of diseases and their influencing factors based on the molecular level. The primary aspect of molecular epidemiological research is based on identifying biomarkers. Bioinformatics, an instrumental discipline of analyzing biology data, can combines and analyses high-throughput data of genomics, transcriptomics, epigenomics and proteomics. Bioinformatics plays an important role in epidemiological screening and researching biomarkers for disease susceptibility, cause exploration, disease diagnosis and prognosis and others. The purpose of this review was to provide an overview of applications of bioinformatics in molecular epidemiology.
- Molecular epidemiology,
- Bioinformatics,
- High-throughput data

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References(35)

References

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