A Review on Bioinformatics Tools for Transcriptomics NGS Data Analysis

Abstract

With the advancement in technologies, there has been a great expansion of data generation in various fields and disciples, including genomics, pharmacogenomics, epigenomics, transcriptomics, metabolomics, and proteomics. Regarding sequencing technologies, the advent of next-generation sequencing methods has enabled researchers to analyze the entire genome or multiple genes simultaneously for mutation detection or gene expression studies. For this reason, the demand for appropriate bioinformatics tools and pipelines for NGS Data Analysis to conduct precision analysis with a high level of accuracy is very high. The field of transcriptomics requires analysis of the entire RNA transcripts that define the transcriptional state of the cells. The analysis of the entire transcriptome is challenging and is supplemented with the utilization of various bioinformatic tools. This review provides an overview of the - generation sequencing and analysis in various fields like genomics and epigenomics, with a special focus on transcriptome analysis.