About

The Bioinformatics and Systems Biology (BioSys) research group at UCSC engages in interdisciplinary research bridging the realms of Computing and Biological Sciences. Comprising members from diverse subdomains such as machine learning, bioinformatics, life science, high-performance computing, and statistics, our group focuses on data analysis and pattern recognition to unravel biological insights. Our work encompasses the development of workflows, algorithms, tools, and statistical models aimed at deciphering data and generating predictive outcomes.

Research Areas

  • Genomics Data analysis
  • Cancer genomics
  • Human Microbiome analysis
  • Bioinformatics workflow management systems
  • Immunoinformatics

Projects

Completed Projects

  • Mining frequent patterns in Bioinformatics workflows
  • Human Gut Microbiome Data Analysis for Disease Likelihood Prediction Using Autoencoders

Ongoing Projects

  • Screening Blood Images and Red Blood Cell Indices of Thalassemia using Deep learning techniques.
  • Development of a Next-Generation Sequencing (NGS) based test for the diagnosis of Maturity Onset Diabetes of the Young (MODY)

Research Team

Principal Investigator

Research Team

Research Assistants

  • Mr. Damitha Liyanaarachchi

Past Members

  • Ms. Dinithi Rajapaksha
  • Ms. Dinithi Wickramaratne
  • Dr. Bhagya Senadeera

Publications

  1. Mannapperuma M. M. A. T. N, Wijesinghe M.W.A.C.R , Weerasinghe A. R, Learning the Diversity and Evolutionary Pattern of the Dengue Virus, International Proceedings of Chemical, Biological and Environmental Engineering, vol. 31, Mar, 2012, pp. 6-11
  2. Perera M.S.H, Weerasinghe A. R., Wijesinghe M. W. A. C.R. , Analyzing Conserved Non-Coding DNA Sequences in the Human Genome, in Asian Regional Conference on Systems Biology, kuala Lumpur, Malaysia: Nov, 2010.
  3. Sudasinghe P. G., Wijesinghe M.W. A.C.R. and. Weerasinge A. R Prediction of horizontal gene transfer in Escherichia coli using ML techniques. International Conference on Advances in ICT in emerging Regions (ICTer) 2013, Sri Lanka.
  4. Vidanagamachchi S. M., Weerasinghe A. R., Dissanayake V. H. W and Wijesinghe M. W. A. C. R., “Analyzing the Genetics of Pre-eclampsia and the Role of the EGF Receptor and its Ligands”, p8.
  5. Vidanagamachchi S. M., Weerasinghe A. R., Dissanayake V. H. W. and Wijesinghe M. W. A. C. R., Analyzing the Human Specificity of Pre-eclampsia, In Proc. of the Fifth International Benelux Bioinformatics Conference, Liege, Belgium, Dec 14-15, 2009, pp 115
  6. Dakshila Kamalsooriya, R. D. T. Wasana Ranasinghe, A. R. Weeerasinghe, C. R. Wijesinghe, Identification & Verification of Mutations in Human Genome, International Conference on Advances in ICT in emerging Regions (ICTer) 2016, Sri Lanka.
  7. Rangana Jayashanka Amaraweera, A. R. Weerasinghe and C. R Wijesinghe. “An Approach to Predict the Survival Time of Childhood Acute Lymphoblastic Leukemia Patients”, International Conference on Advances in ICT in emerging Regions (ICTer) 2016, Sri Lanka.
  8. Ishani Liyanage, C. R. Wijesinghe, A. R. Weerasinghe, N. Samaranayake, A computational approach to prioritize functionally significant variations in whole exome sequencing, IEEE 10th International Conference on Industrial and Information Systems (ICIIS), Dec 2015
  9. H.M.S.D Herath , A.R Weerasinghe , C.R Wijesinghe, Constructing and Analyzing Gene Regulatory Networks in Leaf Senescence of Arabidopsis thalina, International Conference on Advances in ICT in emerging Regions (ICTer) 2017, Sri Lanka.
  10. S.D. L Gunawardena, A. R. Weerasinghe and M. W. A. C. R Wijesinghe, Network Based Prediction of Drug Drug Interactions, International journal on Advances in ICT for emerging Regions (ICTer), vol 11(1), 2018, Sri Lanka.
  11. M Kajan, V A de Silva, B Umayal, C. R Wijesinghe, N V Chandrasekharan, SNP-Genotyping Assay Designer: for cost effective and time efficient SNP genotyping assays, Asian Biotechnology Conference, 2018 Sri Lanka
  12. R.L.P.N.D.Rajapaksha, D.P.S.T.G. Attanayaka, L.M.H.R. Alwis, A.R.Weerasinghe, C.R. Wijesinghe, Genome Analysis of Drought Resistance of Hevea Brasiliensis, 2nd International research Symposium, IRSUWU 2018, Sri Lanka
  13. Meemaduma PSS, Weerasinghe A.R., Wijesinghe C.R., Identification of gene-networks associated with salt tolerance mechanisms of rice by Weighted Gene Co-expression Analysis (WGCNA), Wayamba University International Conference, Sri Lanka, 24-25 August 2018
  14. C. R. Wijesinghe and A. R. Weerasinghe, Experiences on Workflow Management Systems for data-intensive Bioinformatics Among Sri Lankan scientists, Asia Int. Conf. Multidisciplinary Res., p. 63, 2019.
  15. C. R. Wijesinghe, A. R. Weerasinghe, ” Mining Frequent Patterns in Bioinformatics Workflows,” International Journal of Bioscience, Biochemistry and Bioinformatics vol. 10, no. 4, pp. 161-169, 2020.
  16. Bhagya Senadheera, Ruvan Weerasinghe and Rupika Wijesinghe (2019). “Human nervous system cancer mutation analysis from protein sequences and structures”. 11th Annual Scientific Sessions of the Institute of Biochemistry Molecular Biology and Biotechnology, University of Colombo, Sri Lanka.
  17. Bhagya Senadheera, Ruvan Weerasinghe and Rupika Wijesinghe (2019). “Genomic Data Annotation Workflow for SNP Mutations Via Bioinformatics Tools”. 11th Annual Scientific Sessions of the Institute of Biochemistry Molecular Biology and Biotechnology, University of Colombo, Sri Lanka.
  18. Bhagya Senadheera, Ruvan Weerasinghe, Rupika Wijesinghe, Evaluating the Effectiveness of Hard, Hierarchical and Fuzzy Clustering Methods for High Dimensional Gene Expression Data Analysis, International Conference on Advances in ICT in emerging Regions (ICTer) 2019, Sri Lanka
  19. P. A. A. Iloshini, M. W. A. C. R. Wijesinghe, T. Kartheeswaran and W. M. P. S. Weerasooriya, “Dots Witer: Prediction of Potential Cancer Driver Genes Using Hybrid Approach,” 2019 International Conference on Advancements in Computing (ICAC), Malabe, Sri Lanka, 2019, pp. 163-167, doi: 10.1109/ICAC49085.2019.9103401.
  20. Senadheera, S. P. B. M., Weerasinghe, A. R., & Wijesinghe, C. R. (2019). Human Nervous System Cancer Mutation Analysis from Protein Sequences and Structures. SLAAI International Conference on Artificial Intelligence (SLAAI- ICAI), 32–40.
  21. Senadheera, S. P. B. M., Weerasinghe, A. R., & Wijesinghe, C. R. (2019). Association rule mining in nervous system tumor data. SLAAI International Conference on Artificial Intelligence (SLAAI- ICAI.
  22. M. A. I. Perera, C. R. Wijesinghe and A. R. Weerasinghe. Analysis of Expression Data Using Unsupervised Techniques,2020 20th International Conference on Advances in ICT for Emerging Regions (ICTer), 2020, pp. 119-124, doi: 10.1109/ICTer51097.2020.9325502.
  23. S. D. L. H. Maheeshanake, M. W. A. C. R. Wijesinghe, A. R. Weerasinghe and M. A. I. Perera. Unsupervised Techniques for Meta-Analysis of Cancer Genomic Data, 2020 20th International Conference on Advances in ICT for Emerging Regions (ICTer), 2020, pp. 282-283, doi: 10.1109/ICTer51097.2020.9325475.
  24. D. Wickramaratne, R. Wijesinghe and R. Weerasinghe, “Human Gut Microbiome Data Analysis for Disease Likelihood Prediction Using Autoencoders”, 21st International Conference on Advances in ICT for Emerging Regions (ICter), 2021, pp. 49-54, doi:10.1109/ICter53630.2021.9774811.
  25. C. R Wijesinghe, A. R. Weerasinghe, “Tool recommendation for workflow composition using frequent patterns”, Proceedings of the 9
    th International conference on Bioinformatics Research and applications, 2022, pp. 6973, doi.acm.org?doi=3569192.3569204, ACM
  26. DN Wickramaratne, CR Wijesinghe, AR Weerasinghe, “A Deep Learning Approach to Predict Health Status Using Microbiome Profiling”, 22nd International Conference on Advances in ICT for Emerging Regions (ICTer), 2022, 075-079, IEEE
  27. Geesa Daluwatumulle, Rupika Wijesinghe, Ruvan Weerasinghe, “In Silico Drug Repurposing using Knowledge Graph Embeddings for Alzheimer’s Disease”, Proceedings of the 9th International Conference on Bioinformatics Research and Applications, 2022, 61-66, ACM
  28. B.A.P.S. Pathirana, C.R. Wijesinghe, “Epitope Based In-Silico Development of A Vaccine Construct For Dengue Virus-1”, 9th International conference of Sabaragamuwa University of Sri Lanka, 2023, 174

Collaborations

  • Sri Lanka Institute of Biotechnology (SLIBTEC)
  • GeneLabs Medical Sri Lanka