Philip Palmer Green

Philip Palmer Green
Fields Theoretical and computational biology
Education Berkeley
Thesis C*-algebra (1976)
Doctoral advisor Marc Rieffel
Known for Developing important algorithms and procedures used in Gene mapping and DNA sequencing
Notable awards Gairdner Award

Philip Palmer Green is a theoretical and computational biologist noted for developing important algorithms and procedures used in Gene mapping and DNA sequencing. He earned his doctorate from Berkeley in mathematics in 1976 with a dissertation on C*-algebra under the direction of Marc Rieffel, but transitioned from pure mathematics into applied work in biology and bioinformatics. Green has obtained numerous important results, including in developing Phred,[1] a widely used DNA trace analyzer,[2][3] in mapping techniques,[4] and in genetic analysis.[5][6] Green was elected to the National Academy of Sciences in 2001 and won the Gairdner Award in 2002.[7]

See also

References

  1. ↑ Ewing, B., Hillier, L., Wendl, M.C., and Green, P. (1998) Base-calling of automated sequencer traces using phred. I. Accuracy assessment. Genome Res. 8(3), 175–185. PMID 9521921 full article
  2. ↑ Koboldt, D. C. and Miller, R. D. (2011) Identification of Polymorphic Markers for Genetic Mapping, chapter 2 in "Genomics: Essential Methods", John Wiley and Sons.
  3. ↑ Highsmith, W. E. (2006) Electrophoretic Methods for Mutation Detection and DNA Sequencing, chapter 9 in "Molecular Diagnostics for the Clinical Laboratorian", Humana Press
  4. ↑ Lander, E.S. and Green, P. (1987) Construction of multilocus genetic-linkage maps in humans. PNAS 84(8), 2363–2367.
  5. ↑ Ewing, B. and Green, P. (2000) Analysis of expressed sequence tags indicates 35,000 human genes. Nature Genetics 25(2), 232–234.
  6. ↑ Green, P. et al. (1993) Ancient conserved regions in new gene-sequences and the protein databases. Science 259(5102), 1711–1716.
  7. ↑ National Academy of Sciences (2004) Biography of Phil Green. PNAS 101(39), 13991–13993.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.