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Establishing an automated graphical genome analysis platform |
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รหัสดีโอไอ | |
Creator | 1. Wison Laochareonsuk 2. Komwit Surachat 3. Surasak Sangkhathat |
Title | Establishing an automated graphical genome analysis platform |
Publisher | Research and Development Office, Prince of Songkla University |
Publication Year | 2564 |
Journal Title | Songklanakarin Journal of Science an Technology (SJST) |
Journal Vol. | 43 |
Journal No. | 6 |
Page no. | 1726-1735 |
Keyword | cancer research, medical bioinformatics, online analysis platform |
URL Website | https://rdo.psu.ac.th/sjst/index.php |
ISSN | 0125-3395 |
Abstract | Precision medicine is a modern health concept which involves using a specific treatment for individuals based ongenetic background. This new approach not only concerns personalized prescriptions to minimize adverse events and targetedtherapy but also extends to diagnosis, prognosis and prevention of relevant diseases. Emerging high-throughput sequencingtechnology allows widespread identification of genetic variations. However, the downstream workflow of sequencing raw data isbased on command-line interface (CLI) and open-source software, and general users may be confronted with the difficulty ofusing the basic CLI language and constructing pipelines. Our project aimed to establish a fully automated web-based analysissystem for cancer genomic medicine and other human genomic fields to query and visualize genomic data. The web-basedanalysis for cancer biomedicine named iCBC was prepared using a user-friendly graphical interface on a high-performancecomputing system. We also implemented various bioinformatic tools and assembled automated pipelines for genomicsequencing. The implemented workflows included quality control, alignment and pre-processing, variant discovery, annotationand prioritization with multiple filtering criteria. Ultimately, the iCBC was developed, which is an open access online analysisplatform for human high-throughput genomic data in biomedical cancer research. |