China Animal Husbandry and Veterinary Medicine ›› 2020, Vol. 47 ›› Issue (2): 392-398.doi: 10.16431/j.cnki.1671-7236.2020.02.009

• Biotechnology • Previous Articles     Next Articles

A Advances in Bioinformatics Analysis Based on Transcriptome Sequencing

SONG Shangqiao1, MA Weiwei1, ZHANG Chaolong1, ZENG Suxian2, SUN Cuicui1, LI Xin1, YAN Jin1, LI Zongqiang1   

  1. 1. College of Animal Science and Technology, Guangxi University, Nanning 530004, China;
    2. Shajing Subdistrict Office, Jiangnan District, Nanning City Aquatic Animal Husbandry and Veterinary Station, Nanning 530045, China
  • Received:2019-08-10 Published:2020-02-28

Abstract: With the discovery of the double helix structure of DNA,a preliminary study of genome has been carried out,and the central principle has become the core of life science.It has provided a beneficial start for the rapid development of molecular biology and detection technology in recent years.With this,animal gene sequencing research has become a new hot topic in biology.Although a great deal of gene data can be obtained by transcriptome sequencing,the further exploration of data needs further research,and these in-depth mining needs bioinformatics analysis tools,thus establishing a multi-group science,through its continuous improvement,making modern biological science form a complete system.It enables the study of biogenetics to be a layer-by-layer analysis that integrates information and data to describe life activities.Therefore,functional genome research has became an important direction of animal and plant genome research,especially for transcriptome research.This review summarized the background of transcriptome,the complexity of transcriptome research,the development history of DNA sequencing technology and the methods of transcriptome research.It briefly described the development of transcriptome and gave a simple and systematic introduction to the content of transcriptome research,so as to better understand transcriptome sequencing.It laid a foundation for a deeper understanding of transcriptome sequencing.

Key words: molecular biology; transcriptome sequencing; genetic data; bioinformatics; DNA sequencing

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