I am a PhD student in the Artificial Intelligence (AI) Group, supervised by Dr Pietro Lio', and a Cambridge Trust Scholar, as part of the Cambridge International Scholarship Scheme (CISS). I am interested in developing tools, models and algorithms for the analysis, reconstruction and data integration of chromosomal 3D maps, using machine learning and network statistics.
Y. Shavit, F.K. Hamey and P. Lio'. FisHiCal: an R package for iterative FISH-based calibration of Hi-C data. Bioinformatics, 2014.
F. Hamey, C. Town, Y. Shavit and P. Lio'. A method for automated detection of fluorescent probes in FISH images. CIBB 2014.
Y. Shavit and P. Lio'. Combining a wavelet change point and the Bayes factor for analysing chromosomal interaction data. Molecular BioSystems, 2014.
Y. Shavit and P. Lio'. CytoHiC: A Cytoscape Plugin For Visual Comparison Of Hi-C Networks. Bioinformatics, 2013.
E. Mashiach, D. Schneidman-Duhovny, A. Peri, Y. Shavit, R. Nussinov and H.J. Wolfson. An integrated suite of fast docking algorithms. Proteins, 2010.
Talks & Posters
Y. Shavit, A spatial problem in genomics, CIBB 2014.
Y. Shavit and P. Lio'. Integrating multiple omics using change point statistics, Inference for Change-Point and Related Processes, Isaac Newton Institute for Mathematical Sciences (Cambridge, UK), January 13 - 17, 2014.
Y. Shavit and P. Lio'. Applications of Hi-C data to Cytogenetics. Single Cell Genomics, Weizmann institute of science (Israel), October 1–3, 2013.
Bioinformatics, part II, Michaelmas term 2013, Computer Laboratory.
Bioinformatics, part II, Michaelmas term 2012, Computer Laboratory.