转录组
计算生物学
生物
DNA微阵列
基因
RNA序列
基因组
有机体
仿形(计算机编程)
核糖核酸
小桶
基因表达
遗传学
基因组学
基因表达谱
蛋白质组学
生物信息学
代谢组学
从头转录组组装
计算机科学
操作系统
作者
Bibha Rani,Vinay Sharma
出处
期刊:Agricultural Reviews
[Agricultural Research Communication Center]
日期:2017-11-27
卷期号:38 (04)
被引量:11
摘要
Global transcriptional profiling is a powerful tool that can expose expression patterns to define cellular states or to identify genes with similar expression patterns. In recent years, transcriptome profiling has been widely used to understand the genetic regulation of a particular cell type. Transcriptome is defined as a full range of messenger Ribonucleic acid (RNA) molecule expressed by an organism. In other words a transcriptome represents the small percentage of genetic code that is transcribed into RNA molecules. It can offer valuable information on the significant biological processes behind the maintenance of the functionality of the cell. Transcriptomics provides fundaments for more definitively designed studies and guidance to select the genes for functional studies. The technology for the study of the transcriptome is not dependent on any prior knowledge of the genes expressed in the cells. However, with regards to the administration and interpretation of the enormous data provided by transcriptome profiling challenges remain.. Four methods have been reviewed here that is, Microarray technology, Serial Analysis of Gene Expression (SAGE), RNA sequencing (RNA-Seq) and Massively Parallel Signature Sequencing (MPSS). The use of these technologies to analyse the expressed transcripts in several prokaryotic and eukaryotic genomes has revealed the high complexity of transcriptomes.
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