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

Paper Type 
Contributed Paper
CFPG: Creating a Common Fungal Pathogenic Genes Database through Data Mining
Kenneth Lee Shean Tan and Saharuddin Bin Mohamad

     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).

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comparative genomics, pathogenic fungi, bioinformatics, data mining, open source, database
Vol.51 No.3 (May 2024)
View:580 Download:35


CFPG: Creating a Common Fungal Pathogenic Genes Database through Data Mining
Article ID: e2024038
Author:Kenneth Lee Shean Tan and Saharuddin Bin Mohamad
Vol.51 No.3 (May 2024) View: 580 Download:35
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An Improved Algorithm for Protein Structural Comparison Based on Graph Theoretical Approach
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Author:Cheng-Hsien Hsu [a], Sheng-Lung Peng*[b], and Yu-Wei Tsay [b]
Vol.38 (SPECIAL ISSUE 2011) View: 499 Download:158
Cloning and Expression of Chitinase Gene Isolated from Insect Pathogenic Fungi, Beauveria bassiana in Escherichia coli
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Author:Khemika Songjang*[a], Tawee Donchai [a], Paranya Chaiyawat [a] and Christopher R. Meyer [b]
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