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Samuel Karlin, Ph.D.

Affiliations: 
Stanford University, Palo Alto, CA 
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"Samuel Karlin"
Bio:

http://www.genealogy.math.ndsu.nodak.edu/id.php?id=8105

Cross-listing: Evolution Tree

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Parents

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Salomon Bochner grad student 1947 Princeton

Children

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Marcus W. Feldman grad student Stanford (Evolution Tree)
Charles Joel Stone grad student Stanford
Rupert Griel Miller grad student 1956 Stanford
John Winsor Pratt grad student 1956 Stanford
Donald L. Iglehart grad student 1961 Stanford (Computer Science Tree)
John Walter Lee grad student 1969 Stanford
Christopher B. Burge grad student 1997 Stanford (Computational Biology Tree)
Volker Brendel post-doc Stanford (Computational Biology Tree)

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Publications

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Pinsky MA, Karlin S. (2010) An Introduction to Stochastic Modelin: Fourth Edition An Introduction to Stochastic Modeling: Fourth Edition. 1-563
Mrázek J, Karlin S. (2007) Distinctive features of large complex virus genomes and proteomes. Proceedings of the National Academy of Sciences of the United States of America. 104: 5127-32
Chen C, Karlin S. (2007) R-scan statistics of a Poisson process with events transformed by duplications, deletions, and displacements Advances in Applied Probability. 39: 799-825
Karlin S, Brocchieri L, Mrázek J, et al. (2006) Distinguishing features of delta-proteobacterial genomes. Proceedings of the National Academy of Sciences of the United States of America. 103: 11352-7
Mrázek J, Spormann AM, Karlin S. (2006) Genomic comparisons among gamma-proteobacteria. Environmental Microbiology. 8: 273-88
Karlin S, Carmelli D. (2006) Codon signature extremes in eukaryote genomes Israel Journal of Ecology and Evolution. 52: 281-297
Karlin S. (2005) Statistical signals in bioinformatics. Proceedings of the National Academy of Sciences of the United States of America. 102: 13355-62
Karlin S. (2005) John Maynard Smith and recombination. Theoretical Population Biology. 68: 3-5
Brocchieri L, Karlin S. (2005) Protein length in eukaryotic and prokaryotic proteomes. Nucleic Acids Research. 33: 3390-400
Brocchieri L, Kledal TN, Karlin S, et al. (2005) Predicting coding potential from genome sequence: application to betaherpesviruses infecting rats and mice. Journal of Virology. 79: 7570-96
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