การพัฒนาซอฟต์แวร์ที่มีประสิทธิภาพสำหรับการวิเคราะห์ปฏิสัมพันธ์ระหว่าง SNPs (Single Nucleotide Polymorphisms) ที่มีส่วนเกี่ยวข้องต่อการเกิดโรค

• Main Author: อุนิตษา สังข์เกตุ
• Other Authors: Faculty of Science (Molecular Biotechnology and Bioinformatics)
• Format: Technical Report
• Language: Thai
• Published: มหาวิทยาลัยสงขลานครินทร์ 2022
• Subjects: Single nucleotide polymorphisms; ซอฟต์แวร์ การพัฒนา
• Online Access: http://kb.psu.ac.th/psukb/handle/2016/17379
• Institution: Prince of Songkhla University

SNP-SNP interactions associate diseases such as influenza. Influenza is an infectious disease caused by the influenza virus (IFV) and outbreaks each year. The vaccine resistance can be appeared if the genetics shifts or drifts of IFV are occurred. Close monitoring of genetics evolution of IFV is essential information for emerging seasonal influenza vaccine design and composition to protect people from the IFV. The SNP-SNP interactions of IFV of each influenza epidemic are classified for understanding the genetics evolution of IFV. However, classifying SNPs by manual visualization is time consuming and produces some error. Therefore, SNPer program was developed to speed up the capacity and eliminate errors of grouping the SNPs. The SNPs of IFV populations were grouped the into (1) universal SNPs, (2) likely common SNPs, and (3) unique SNPs. SNPer executed only three seconds with no error of SNP classification events analyzed with 40 hours with errors using manual visualization. SNPer can perform not only on SNPs of IFV but also on SNPs of other organisms.