Introduction

For the analysis of gene expression, RNA sequencing (RNA-Seq) has a number of technological benefits such as, a wider dynamic range and the liberty from predesigned probes. This RNA sequencing examine transcriptomes and can be applied in biological research, drug discovery and clinical development. RNA sequencing avoids some of the technical limitations such as varying probe performance and cross-hybridization and have broader dynamic range in the comparison of microarray-based transcriptome profiling. In biological system, the expression levels of thousands of genes can be measured simultaneously by the help of RNA-Seq that also provides insights into functional pathways, regulatory networks, alternative splicing, unannotated exons and novel transcripts. In the analysis of gene expression, the gene expression signatures changes are identified by the comparison of two or more condition (Williams et al, 2017).

Types of RNA Sequencing

Single RNA-Seq: In single cell, RNA sequencing have a new approach with the study of complex biological processes. In recent years, qualitative microscopic images and quantitative genomic datasets are used by single RNA-Seq for the study of cancer. There are many disease can be resolved such as resolving solid tumor heterogeneity, recognizing stem cells, tracing cell lineages and population consumption, measuring the mutation rates, and detecting the fusion gene sequences by the single cell genome and exome sequencing. In this way, single cell sequencing provides more accurate measurement.