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DC Field | Value | Language |
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dc.contributor.author | Li, Hechen | en_US |
dc.date.accessioned | 2018-01-30T10:20:51Z | |
dc.date.accessioned | 2019-02-12T06:53:53Z | - |
dc.date.available | 2018-01-30T10:20:51Z | |
dc.date.available | 2019-02-12T06:53:53Z | - |
dc.date.issued | 2017 | en_US |
dc.identifier.other | 2017cslhc609 | en_US |
dc.identifier.uri | http://144.214.8.231/handle/2031/52 | - |
dc.description.abstract | This project aims to build a cloud-based integrated one-stop virus analysis platform. It focuses on providing fully automated analysis on various oncovirus related topics in the era of NGS (Next generation sequencing) technology. It integrates and utilize existing tools and softwares seamlessly. Connected to the powerful cloud of our research group and backed with professional bioinformatic software packages, it performs analysis automatically. Instead of requiring setting up and solving compatibility issue for dozens of independent softwares, or uploading terabytes of data, the only thing researchers need to do is click button and wait for a well formatted final report. It performs analysis on cutting-edge research topics. From DNA to RNA, it provides 5 categories with 17 analyses (currently) that covers most of related topics in virus genome study, made itself an effective toolkit in current field. For DNA data, it analyzes the virus variants and their reconstructed genome, and then focuses on virus integration and local haplotype; for RNA data, it also does research on topics like virus-human fusion and alleles specific expression (ASE). With all components customizable and extendable, users or developers can easily add more functionalities in future development. It provides a novel way to present bioinformatics data and figures with vector graph and interactive components, encapsulated in an expandable and flexible front-end visualization framework, which could be an effective solution for visualization of large scaled biological data with complicated relationship. It also provides quite easy way to customize and export the figure in academic standard. The platform will finally be deployed for public use and updated continuously in long-term. Additionally, a paper for this platform is expected to be published as well. | en_US |
dc.title | An Integrated Virus Analysis Platform | en_US |
dcterms.rights | This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner. | en_US |
dcterms.rights | Access is restricted to CityU users. | en_US |
dc.contributor.department | Department of Computer Science | en_US |
dc.description.supervisor | Supervisor: Dr. Li, Shuaicheng; First Reader: Dr. Wong, Hau San Raymond; Second Reader: Prof. Wang, Lusheng | en_US |
Appears in Collections: | Computer Science - Undergraduate Final Year Projects |
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