• Bioinformatics & Functional Genomics

    Bioinformatics & Functional Genomics


All courses for every first-year Science student will be delivered online this fall. A limited number of students in their second, third and fourth years will return to campus for part of the semester.

Research in the area of  ‘bioinformatics and functional genomics’ leverages the power of genomic and post-genomic technologies, to address fundamentally important biological questions in a wide range of organisms, from a molecular level, through to a population perspective.  Our laboratories provide a superb training environment for motivated post-doctoral fellows, graduate students and undergraduates.

Jonathon Stone
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Associate Professor
LSB 327
(905) 525-9140 ext. 26136

Astro-, Computational, Developmental, and Evolutionary biology (with smattering from Ecology and Physiology); Viruses to elephants, including human menopause and especially gastropods, echinoids, and water bears (oh my).

Bioinformatics & Functional Genomics; Cell and Developmental Biology; Ecology & Evolution; Genetics & Molecular Biology

  • Morton, R.A., Stone, J.R., Singh, R.S. 2013. Mate choice and the origin of menopause. PLoS Computational Biology. 9: e1003092.
  • Abou Chakra, M. and Stone, J.R. (2011) Holotestoid: a computational model for testing hypotheses about echinoid skeleton form and growth. J. Theor. Biol. 285: 113-125.
  • Abou Chakra, M. and Stone, J.R. (2011) Classifying echinoid skeleton models: testing ideas about growth and form. Paleobiology. 4: 686-695.
  • Mok, W., Seto, K. and Stone, J. (2007) Non-molecular-clock-like evolution following viral origins in Homo sapiens. Evol. Bioinform. Online. 3:263-266.
  • Stone, J.R.(2005) Probabilities for completely pectinate and symmetric cladograms. Cladistics. 19: 565-566.
  • Stone, J.R. and Hall, B.K. (2004) Latent homologues for the neural crest as an evolutionary novelty. Evol. Dev. 6: 123-129.
  • Stone, J.R.(2002) Mapping cladograms into morphospaces. Acta Zoologica. 84: 63-68.
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McMaster University - Faculty of Science | Biology