Jonathon Stone, Ph.D.
Telephone: (905) 525-9140
Office: LSB-327 Ext 26136
Lab: LSB-325 Ext 27676
Computational Biology is the discipline wherein computers comprise the principal tool for conducting life science research and involves data analysis, mathematical or numerical modeling, and graphical or rule-based simulation. Researchers in the Stone laboratory conduct Computational Biology at multiple levels, including gene, cell, tissue, individual, population, species, and taxon. Details about the research may be obtained by visiting the laboratory pages (via the link above) or contacting Professor Stone .
- 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.