- \n
- Computational Statistics<\/li>\n
- Probabilistic Modeling<\/li>\n
- Machine Learning<\/li>\n
- Statistical Bioinformatics<\/li>\n
- Biological Data Modeling<\/li>\n<\/ul>\n<\/div>\n<\/div>\n
[\/vc_column_text][vc_column_text]<\/p>\n
Software Developed<\/h2>\n
[\/vc_column_text][vc_column_text]<\/p>\n
\n\n- \n
- \n
\n R Shiny and React Apps<\/h3>\n
- \n
- An interactive educational tool that demonstrates how Markov processes work using DNA sequences. Perfect for teaching students the mathematical foundations of sequence analysis in bioinformatics and computational biology. https:\/\/sameeranc.github.io\/dna-markov-calculator\/<\/a><\/li>\n
- An R Shiny web application that integrates the Semantic Scholar API to analyze and download citation details of Google Scholar publications, providing researchers with an efficient and user-friendly tool for citation management.\u00a0https:\/\/sameera-viswakula.shinyapps.io\/Google_Citation_Downloader_App\/<\/a><\/li>\n
- An interactive R Shiny application for creating customizable maps of Sri Lanka. Users can select specific provinces, districts, or DS divisions and export high-quality maps in PNG, PDF, or dynamic HTML formats.\u00a0https:\/\/sameera-viswakula.shinyapps.io\/SL_Map_App\/<\/a><\/li>\n
- Shiny app for converting an image to an R plot. It can also be used to draw and creat a 2D dataset with a trends, outliers etc. Check it out here.\u00a0https:\/\/sameera-viswakula.shinyapps.io\/Convert_or_draw_your_plot\/<\/a><\/li>\n<\/ol>\n<\/section>\n
\n <\/h2>\n<\/section>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n
[\/vc_column_text][vc_column_text]<\/p>\n
\n\n- \n
- \n
\n Software Released (Collaborative work)<\/h3>\n
- \n
- RNASSA 2.0: RNA Secondary Structure Analysis (Version 2.0.121208). Leung, M.-Y., Mohl, J., Licon, A., Viswakula, S., Kelley, P., Araiza, R., Kodimala, V., Vegesna, R., Saldivar, L., Yehadego, D., Cardenas, G., Vest, E.,Fuentes, O., Taufer, M., Johnson, K. L., (2012).<\/li>\n
- Segmenta 2.0: A Bioinformatics Tool for RNA Segmentation (Version 2.0.121208). Leung, M.-Y., Viswakula, S., Kodimala, V., Yehadego, D., Vegesna, R., Taufer, M., Johnson, K. L., (2012).<\/li>\n<\/ol>\n<\/section>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n
[\/vc_column_text][vc_column_text]<\/p>\n
Research Experience<\/h2>\n
[\/vc_column_text][vc_column_text]<\/p>\n
\n\n- \n
- Ph.D. Dissertation<\/strong> – Old Dominion University. August, 2012 – May, 2015
\nTitle: Zero inflated models to identify transcription factor binding sites in ChIP-seq experiments
\nI developed a technique to identify binding sites of transcription factors on DNA using ChIP-Seq data. I incorporated additional covariates to the existing Poisson model and extended the existing NEXT-Peak, peak-calling C++ program to find the improvements in peak calling.<\/li>\n- MS Thesis<\/strong> – University of Texas at El Paso. August, 2010 – July, 2011
\nTitle: Distributional properties of inversions and segmentation algorithms for RNA sequences<\/p>\nI derived some distributional properties of inversions (RNA secondary structure patterns) and introduced two new segmentation algorithms for long RNA sequences. These algorithms help to segment the long RNA sequences, when a grid based secondary structure prediction mechanism is used.
\nAvailable at http:\/\/digitalcommons.utep.edu\/dissertations\/AAI1498327\/<\/li>\n- Final Year Project<\/strong> – BSc in Statistics, University of Colombo. Sem II, 2007-08
\nTitle: Diagnostics for matched case control studies: SAS macro for Proc Logistic.
\nI designed an interface using Visual Basic for Applications (VBA) for Microsoft Excel and used the Object Linking and Embedding (OLE) automation and Dynamic Data Exchange (DDE) of SAS to link the interface to the SAS macro.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"
[vc_row css=”.vc_custom_1535953458083{padding-top: 0px !important;padding-bottom: 0px !important;}”][vc_column][vc_column_text] Research Interests [\/vc_column_text][vc_column_text] Computational Statistics Probabilistic Modeling Machine Learning Statistical Bioinformatics Biological Data Modeling […]<\/p>\n","protected":false},"author":16,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.res.cmb.ac.lk\/statistics\/sameera-viswakula\/wp-json\/wp\/v2\/pages\/16"}],"collection":[{"href":"https:\/\/www.res.cmb.ac.lk\/statistics\/sameera-viswakula\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.res.cmb.ac.lk\/statistics\/sameera-viswakula\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.res.cmb.ac.lk\/statistics\/sameera-viswakula\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/www.res.cmb.ac.lk\/statistics\/sameera-viswakula\/wp-json\/wp\/v2\/comments?post=16"}],"version-history":[{"count":8,"href":"https:\/\/www.res.cmb.ac.lk\/statistics\/sameera-viswakula\/wp-json\/wp\/v2\/pages\/16\/revisions"}],"predecessor-version":[{"id":118,"href":"https:\/\/www.res.cmb.ac.lk\/statistics\/sameera-viswakula\/wp-json\/wp\/v2\/pages\/16\/revisions\/118"}],"wp:attachment":[{"href":"https:\/\/www.res.cmb.ac.lk\/statistics\/sameera-viswakula\/wp-json\/wp\/v2\/media?parent=16"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
- MS Thesis<\/strong> – University of Texas at El Paso. August, 2010 – July, 2011
- Ph.D. Dissertation<\/strong> – Old Dominion University. August, 2012 – May, 2015
- An R Shiny web application that integrates the Semantic Scholar API to analyze and download citation details of Google Scholar publications, providing researchers with an efficient and user-friendly tool for citation management.\u00a0https:\/\/sameera-viswakula.shinyapps.io\/Google_Citation_Downloader_App\/<\/a><\/li>\n
- An interactive educational tool that demonstrates how Markov processes work using DNA sequences. Perfect for teaching students the mathematical foundations of sequence analysis in bioinformatics and computational biology. https:\/\/sameeranc.github.io\/dna-markov-calculator\/<\/a><\/li>\n
- \n