Seung-Il Yoo, Sung-bong Jang, Yoon-Ji Chung, and Seung-Hwan Lee
Division of Animal & Dairy Science, Chungnam National University, Daejeon 34134, Korea
Volume 2, Number 2, Pages 117-132, June 2018.
Journal of Animal Breeding and Genomics 2018, 2(2), 117-132. https://doi.org/10.12972/jabng.20180027
Received on 5 June, 2018, Revised on 18 June, 2018, Accepted on 19 June, 2018, Published on June 30, 2018.
Copyright © 2018 Korean Society of Animal Breeding and Genetics.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0).
Organisms express their phenotypes by competitive gene expression. During decades, researchers have quantitated gene expression levels using DNA microarray method for understanding of molecular biology. However, as sequencing costs decreased, the number of transcriptome analysis using RNA-seq has been increased recently. This new RNA-seq data has not only possibility of confirmation for transcript expression but also confirmation of novel isoform which can extract more diverse analysis results than DNA microarray method. In this research, we introduce experimental and computer scientific perspectives which needed for RNA-seq data analysis and Tuxedo protocol among the various pipeline to detect differentially expressed genes(DEG) and practice of visualization analysis.
RNA Sequencing (RNA-seq), Transcriptome analysis, Differential Expressed Gene (DEG)