Papers

Books

The Think X series by Allen Downey are excellent pedagogical books for learning basic programming and statistics. They are available for free online. The most useful are Think Stats and Think Python.
Holmes and Huber, Modern Statistics for Modern Biology, Cambridge University Press, 2019. This is a clearly-written, excellent resource by Susan Holmes and Wolfgang Huber, one of my favorites.
Bradley Efron and Trevor Hastie, Computer Age Statistical Inference, Cambridge University Press, 2016. This book gives a nice historical perspective on the development of modern tools, which provides a nice overview of how everything fits together.
Blitzstein and Hwang, Introduction to Probability, 2nd Ed., Chapman and Hall/CRC, 2019. This is a beautiful book explaining fundamental concepts in probability and is available for free here.
Gonzalez and Woods, Digital Image Processing, 4th Ed., Prentice-Hall, 2017. This is the standard book for the basics of image processing.

Kleinteich and Gorb, Tongue adhesion in the horned frog Ceratophrys sp., Sci. Rep., 4, 5225, 2014
Gardner, Zanic, et al., Depolymerizing kinesins Kip3 and MCAK shape cellular microtubule architecture by differential control of catastrophe, Cell, 147, 1092-1103, 2011
Prober, et al., Hypocretin/Orexin overexpression induces an insomnia-like phenotype in zebrafish, J. Neurosci., 26, 13400-13410, 2006
Nath, Bedbrook, Abrams, et al., The jellfish Cassiopea exhibits a sleep-like state, Curr. Biol., 27, 2984-2990, 2017
Goehring, et al., FRAP analysis of membrane-associated proteins: lateral diffusion and membrane-cytoplasmic exchange Biophys. J., 99, 2443-2452, 2010
Iwer-Biswas, et al., Scaling laws governing stochastic growth and division of single bacterial cells PNAS, 111, 15912-15917, 2014
Good, et al., Cytoplasmic volume modulates spindle size during embryogenesis, Science, 342, 856-860, 2013
Singer, et al., Dynamic heterogeneity and DNA methylation in embryonic stem cells, Molec. Cell, 55, 319-331, 2014