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| The computation biology analysis protocol of next-generation high-throughput RNA-sequencing data from human colon cancer |
North Sichuan Medical College, Metabolomics and Multidisciplinary Laboratory for Trauma Research, Institute for Emergency and Disaster Medicine, Sichuan Provincial People’s Hospital, Sichuan Academy of Medical Science, School of Mathematical Sciences, Nankai University, Department of Biochemistry, Southwest Medical University
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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.
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