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Asst.Prof.Dr. Unitsa Sangket

l-unitsa

Present Status: Assistant Professor and Researcher
Address: Center for Genomics Center for Genomics and Bioinformatics Research, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla, 90112, Thailand.
Telephone: +66-74-288790
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Research of Interest: Bioinformatics, Variant Analysis, Transcriptome Analysis, Metagenomic Analysis, Genome-Wide Association Study

Educational Backgrounds

2011 Ph.D. in Molecular Biology and Bioinformatics, Faculty of Science, Prince of Songkla University, Songkhla, Thailand.
2006 M.Sc. in Computer Science, Faculty of Science, Prince of Songkla University, Songkhla, Thailand.
2002 B.Sc. in Computer Science, Faculty of Science, Prince of Songkla University, Songkhla, Thailand.

 

Research Experiences

2006 - present Bioinformatics
    - Variant Analysis
    - Transcriptome Analysis
    - Metagenomic Analysis
    - Genome-Wide Association Study
    - Workflow Development
    - Promoter Prediction
2003 - 2006 Data mining, Neural Networks

 

Publications

  • Sangket, U.*, Mahasirimongkol, S., Tandayya, P., Sangkhathat, S., Liu, Q., & Yasui Y. Parallelization of Logic Regression Analysis on SNP-SNP Interactions of a Crohn’s Disease Dataset Model. Journal Sains Malaysiana. (Accepted)
  • Damkliang*, K., Tandayya, P., Sangket, U., & Pasomsub, E. (2016). Integrated Automatic Workflow for Phylogenetic Tree Analysis Using Public Access and Local Web Services. Journal of Integrative Bioinformatics 13 (1):287.
  • Saetan U., Sangket U., Deachamag P., Chotigeat W.* (2016). Ovarian transcriptome analysis of vitellogenic and non-Vitellogenic female banana shrimp (Fenneropenaeus Merguiensis). PLoS ONE, 11(10): e0164724.
  • Engsontia P.*, Sangket U., Robertson H.M., Satasook C. (2015). Diversification of the ant odorant receptor gene family and positive selection on candidate cuticular hydrocarbon receptors. BMC Research Notes, 8 (1): e380.
  • Sangket U*, Vijasika S, Noh H, Chantratita W, Klungthong C, et al. (2015) SNPer: An R Library for Quantitative Variant Analysis on Single Nucleotide Polymorphisms among Influenza Virus Populations. PLoS One 10: e0122812.
  • Engsontia P*, Sangket U, Chotigeat W, Satasook C (2014) Molecular evolution of the odorant and gustatory receptor genes in lepidopteran insects: implications for their adaptation and speciation. J Mol Evol 79: 21-39.
  • Sangket U*, Mahasirimongkol S, Chantratita W, Tandayya P, Aulchenko YS (2010) ParallABEL: an R library for generalized parallelization of genome-wide association studies. BMC Bioinformatics 11: 217.
  • Sangket U*, Phongdara A, Chotigeat W, Nathan D, Kim WY, et al. (2008) Automatic synchronization and distribution of biological databases and software over low-bandwidth networks among developing countries. Bioinformatics 24: 299-301.

Proceedings

  • Damkliang, K.*, Tandayya, P., Sangket, U., Mahasirimongkol, S., Pasomsab, E.“An efficient process for enhancing genotype imputation in Genome-wide association studies using high performance computing”. ICSEC 2015 - 19th International Computer Science and Engineering Conference: Hybrid Cloud Computing: A New Approach for Big Data Era, Duangtawan HotelChiang Mai; Thailand; 23 - 26 November 2015.
  • Damkliang, K.*, Tandayya, P., Phusantisampan, T., Sangket, U. “Taverna workflow and supporting services for single nucleotide polymorphisms analysis”. Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009, Kuala Lumpur; Malaysia; 3 - 5 April 2009.
  • Damkliang, K.*, Tandayya, P., Phusantisampan, T. and Sangket, U. “Workflow and Supporting Services for Single Nucleotide Polymorphisms Analysis Gene Using Taverna”. In Proceedings of 2009 International Conference on Information Management and Engineering (ICIME 2009), Kuala Lumpur, Malaysia, 3rd -5th April 2009.
  • Sangket, U.*, Wettayaprasit, W. and Nugkaew, A. “Based Feature Extraction and Binary Representation Technique for Promoter Prediction Using Maximum Weighting from Neural Network”. In Proc. the 11th National Symposium on Computational Science and Engineering, Phuket, Thailand, pp. 236-237, March 2007.
  • Wettayaprasit, W. and Sangket, U. “Linguistic Knowledge Extraction from Neural Networks using Maximum Weight and Frequency Data Representation”. In Proc. The 2006 IEEE International Conferences on Cybernetics & Intelligent Systems (CIS ), Jun. 7-9, 2006.
  • Sangket U. and Wettayaprasit W., “Linguistic Rule Extraction from Neural Networks using Frequency Interval Data Representation,” in Proc. The 9 th National Computer Science and Engineering Conferrence (NCSEC2005), Oct. 27-28, 2005, pp. 813-824.
  • Wettayaprasit W. and Sangket U., “Linguistic Rule Extraction using Maximum Feature Weighting from Neural Network,” in Proc. Joint Conference on Computer Science and Software Engineering (JCSSE2005), Nov. 17-18, 2005, pp. 163-168.th networks among developing countries. Bioinformatics 24: 299-301.