Tan, Kenneth Lee Shean and Mohamad, Saharuddin (2024) CFPG: Creating a Common Fungal Pathogenic Genes Database through Data Mining. Chiang Mai Journal of Science, 51 (3). ISSN 0125-2526, DOI https://doi.org/10.12982/CMJS.2024.038.
Full text not available from this repository.Abstract
Fungal pathogenicity is one of the most vigorously tackled ecological and medicinal issues facing many scientists. Comparative genomics is an extremely important methodology and tool used to understand fungal pathogenicity, and it allows the development of early diagnostic tools for fungal-inflicted diseases across different host organisms. However, comparative genomics depends heavily on readily available fungal pathogenic gene databases to enable downstream genomics study and the development of new diagnosis and detection methods. Here, we have developed the Common Fungal Pathogenic Genes Database through comparative genomic analysis using 86 publicly available fungal genomic data against fungal pathogenicity-related databases, such as Pathogenic-Host Interaction Database (PHI-base), Carbohydrate-Active enZymes Database (CAZy), and Database of Fungal Virulence Factory (DFVF).
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | comparative genomics; pathogenic fungi; bioinformatics; data mining; open source; database |
| Subjects: | Q Science > Q Science (General) Q Science > QH Natural history |
| Divisions: | Faculty of Science > Institute of Biological Sciences |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 13 Jan 2025 00:32 |
| Last Modified: | 13 Jan 2025 00:32 |
| URI: | http://eprints.um.edu.my/id/eprint/46964 |
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