Biomathematics Seminar: Biology is Simple
1 December 2015 14:00 in Department of Mathematical Sciences
I will present some perspectives on an overtly "simple" (but, definitely not simplistic!) approach to biology that my theory group has adopted over the past few years, and which has led, we believe, to some useful insights. This experience complements the "big data" approach and mindset which is threatening to consume the life sciences, and yet, importantly, is not just "pasting physics onto biology". I will also aim to discuss in some detail one or two of some recently completed projects on gene regulatory networks , cancer metastasis  and DNA replication .
1. Buffered Qualitative Stability Explains the Robustness and Evolvability of Transcriptional Networks
L. Albergante, J. J. Blow, and T. J. Newman, eLife 3 e02863 (2014).
2. Quantifying Metastatic Inefficiency: Rare Genotypes versus Rare Dynamics
L. H. Cisneros and T. J. Newman, Physical Biology 11 046003 (2014).
3. Replisome Stall Events Have Shaped the Distribution of Replication Origins in the Genomes of Yeasts
T. J. Newman, M. A. Mamun, C. A. Nieduszynski, and J. J. Blow, Nucleic
Acids Research 41 9705-9718 (2013).
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