
An Overview of RNA-seq Data Analysis
Author(s) -
Tahsin Ferdous,
Mohammad Ohid Ullah
Publication year - 2017
Publication title -
journal of biology and life science
Language(s) - English
Resource type - Journals
ISSN - 2157-6076
DOI - 10.5296/jbls.v8i2.11255
Subject(s) - rna seq , rna , transcriptome , dna sequencing , computational biology , deep sequencing , biology , computer science , gene , genetics , genome , gene expression
Latest breakthrough in high-throughput DNA sequencing have been launched different arenas for transcriptome analyses, jointly named RNA-seq (RNA-sequencing). It exposes the existence and amount of RNA in a biotic sample at a specific time by utilizing next generation sequencing (NGS). In this review, we aimed to explore the several methods which are applied in analyzing RNA-seq data. We also discussed its importance over microarray data. As establishment of several methods have already taken place to analyze RNA-seq data, therefore, further analysis is very essential to select the best one to avoid false positive outcomes.