The computation biology analysis protocol of next-generation high-throughput RNA-sequencing data from human colon cancer

WANG Wen-yuan; JIANG Hua; PAN Hai-xia; YANG Hao; PENG Jin; ZHOU Zhi-yuan

doi:10.16689/j.cnki.cn11-9349/r.2016.03.013

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Electronic Journal of Metabolism and Nutrition of Cancer ›› 2016, Vol. 3 ›› Issue (3) : 178-183. DOI: 10.16689/j.cnki.cn11-9349/r.2016.03.013

The computation biology analysis protocol of next-generation high-throughput RNA-sequencing data from human colon cancer

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Abstract

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.

Key words

Colon cancer / RNA sequencing / Next-generation sequencing / Transcriptomes / Computation biology

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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 https://doi.org/10.16689/j.cnki.cn11-9349/r.2016.03.013