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FMS Publications



Click here to view Dr. Sanford's resumé.

Cordova, S., Sanford, J. (2019) Testing the Hypothesis that the Nylonase NylB Protein Arose de novo via a Frameshift Mutation. Preprints, 2019050123.

Cordova, S., Sanford, J. Nylonase Genes and Proteins - Distribution, Conservation, and Possible Origins. Quantitative Biology.

Heap, B., Sanford, J. (2019) The Sexual Holocaust: A Global Crisis. First edition. FMS Publication. Canandaigua, NY. 126 pages.

Basener, W., Sanford J. (2017). The Fundamental Theorem of Natural Selection with Mutations. Journal of Mathematical Biology. Volume 76, Issue 7, pp 1589–1622.


Rupe, C., Sanford, J. (2017). Contested Bones. FMS Publications. Waterloo, NY. 334 pages.


Sanford, J., Brewer, W., Smith F., and Baumgardner, J. (2015). The Waiting Time Problem in a Model Hominin Population. Theoretical Biology and Medical Modelling12:18


Brewer, W., Scott, W., and Sanford, J.  (2015). “An Integrated Cloud Platform for Rapid Interface Generation, Job Scheduling, Monitoring, Plotting, and Case Management of Scientific Applications”, Proc. of the International Conference on Cloud Computing Research and Innovation, IEEE Press, October 2015, pp. 156-165.


Sanford. J.C. (2014). Genetic Entropy. Fourth edition. FMS Publications. Waterloo, NY. 271 pages.


Marks R.J., Behe M.J., Dembski W.A., Gordon B.L., and Sanford J.C. (2013). Biological Information – New Perspectives. World Scientific Publishing Co., Singapore (pp 1-559).


Montañez, G.; Marks R.; Fernandez, J. & Sanford, J. (2013). Multiple overlapping genetic codes profoundly reduce the probability of beneficial mutation, In: Biological Information – New Perspectives (pp 139-167).

Sanford, J. (2013). Session II Chair - Biological Information and Genetic Theory: Introductory Comments, In: Biological Information – New Perspectives (pp 203-209).

Gibson, P.; Baumgardner, J.; Brewer, W. & Sanford, J. (2013). Can Biological Information Be Sustained By Purifying Natural Selection? In: Biological Information – New Perspectives (pp232-263).

Sanford, J.; Baumgardner, J. & Brewer, W. (2013). Selection Threshold Severely Constrains Capture of Beneficial Mutations,In: Biological Information – New Perspectives (pp 264-297).

Brewer, W.; Baumgardner, J. & Sanford, J. (2013). Using Numerical Simulation to Test the “Mutation-Count” Hypothesis,In: Biological Information – New Perspectives (pp 298-311).
Baumgardner J.; Brewer, W.; Sanford, J. (2013). Can Synergistic Epistasis Halt Mutation Accumulation? Results from Numerical Simulation,In: Biological Information – New Perspectives (312-337).
Nelson, C.; & Sanford, J. (2013). Computational evolution experiments reveal a net loss of genetic information despite selection ,In: Biological Information – New Perspectives (338-368).

Brewer, W.; Smith, F. & Sanford, J. (2013). Information loss: potential for accelerating natural genetic attenuation of RNA viruses ,In: Biological Information – New Perspectives (369-384).

Rupe, C., Sanford J. (2013). Using Numerical Simulation to Better Understand Fixation Rates, and Establishment of a New Principle: Haldane's Ratchet.


Carter R.C. & Sanford, J.C. (2012).  A new look at an old virus: patterns of mutation accumulation in the human H1N1 influenza virus since 1918. Theoretical Biology and Medical Modeling 9:42doi:10.1186/1742-4682-9-42.


Sanford, J. & Nelson, C. (2012). The Next Step in Understanding Population Dynamics: Comprehensive Numerical Simulation, Studies in Population Genetics, in: M. Carmen Fusté (Ed.), ISBN: 978-953-51-0588-6, InTech.

Nelson, C.W. & Sanford, J.C. (2011). The Effects of Low-Impact Mutations in Digital Organisms. Theoretical Biology and Medical Modeling, Vol. 8, (April 2011), p. 9.

Seaman, J. and J.C. Sanford. (2009). Skittle: a two-dimensional genome visualization tool. BMC Bioinformatics 10:452.

Sanford, J.C., Baumgardner, J., Gibson, P., Brewer, W., ReMine, W. (2007). Mendel's Accountant: a biologically realistic forward-time population genetics program. SCPE 8(2):147-165.

Sanford, J.C., Baumgardner, J., Gibson, P., Brewer, W., ReMine, W. (2007). Using computer simulation to understand mutation accumulation dynamics and genetic load. In Shi et al. (Eds.), ICCS 2007, Part II, LNCS 4488 (pp.386-392), Springer-Verlag, Berlin, Heidelberg.

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