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CFPG: Creating a Common Fungal Pathogenic Genes Database through Data Mining


Paper Type 
Contributed Paper
Title 
CFPG: Creating a Common Fungal Pathogenic Genes Database through Data Mining
Author 
Kenneth Lee Shean Tan and Saharuddin Bin Mohamad
Email 
saharuddin@um.edu.my
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).

Article ID
e2024038
Received Date 
2023-09-28
Revised Date 
2024-03-14
Accepted Date 
2024-03-28
Full Text 
  Download
Keyword 
comparative genomics, pathogenic fungi, bioinformatics, data mining, open source, database
Volume 
Vol.51 No.3 (May 2024)
DOI 
https://doi.org/10.12982/CMJS.2024.038
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