Abstract: Objective To introduce an application of the next-generation high-throughput RNA-sequencing (RNA-seq) technology on transcriptomes and gene expression profiles research, based on the RNA-seq data from human colon cancer. Methods Based on the open-source analysis software of Linux platform and RNA-seq data from human colon cancer tissue, the complete workflow of RNA-seq data processing and analysis protocol would be established. And the software selection, quality control and downstream analysis in this workflow would be discussed. Results By using the mainstream RNA-seq computation biology techniques, a set of free and open-source RNA-seq data processing and analysis computational biology protocol have been established. And there were several difference-expressed genes were identified from this human colon cancer RNA-seq data analysis workflow. Conclusions This study provided an easy-to-use protocol for RNA-seq data clean, computation modeling and analysis. As an example of clinical oncology research, it could be referenced for the clinical investigators working on similar study.
WANG Wen-yuan
,
JIANG Hua
,
PAN Hai-xia
,
YANG Hao
,
PENG Jin
,
ZHOU Zhi-yuan
. The computation biology analysis protocol of next-generation high-throughput RNA-sequencing data from human colon cancer[J]. Electronic Journal of Metabolism and Nutrition of Cancer, 2016
, 3(3)
: 178
-183
.
DOI: 10.16689/j.cnki.cn11-9349/r.2016.03.013
