BioCloud: an online sequencing analysis platform
Date Issued
2016
Date
2016
Author(s)
Wang, Liang-Bo
Abstract
With the advent of next-generation sequencing (NGS), it has become one of the most important data sources in genome-wide study. Compared with traditional methods, NGS provides high throughput sequencing reads and ability to quantify expression of biological activities in feasible range of time and budget. However, before obtaining biologically meaningful results, a NGS data analysis involves series of command-line tools to process and requires extensive computation resources, which imposes a high barrier for biologists and clinicians to enter NGS analysis and even interpret their own data. Therefore, in this study, an online NGS analysis platform, BioCloud, is proposed to automate common analysis pipelines and generate summary report based on the analysis results. Furthermore, users can design their custom analysis pipelines and extends the existed implementation to support a wider set of NGS sequencing types and analysis methods. By conducting NGS analyses on BioCloud, researchers can understand their data in a more interactive and convenient way and the analyses results can be easily reproducible.
Subjects
Next-generation sequencing
online analysis platform
Type
thesis
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