Jérôme K Percus is Professor of Physics and Mathematics at the Courant Institute of Mathematical Sciences and Department of Physics at New York University, where he bas taught since 1958. He has held visiting positions at Middlesex Hospital Medical School in London, Columbia University, Rutgers University, Princeton University, Rockefeller University, Yukawa Institute in Kyoto, Tokyo University, Norwegian Institute of Technology, Max Planck Institute in Tubingen, Catholic University in Rio de Janeiro, Ecole Polytechnique in Lausanne, Soviet Academy of Sciences in Moscow, Leningrad, Kiev, and Lvov, University of Paris, Nankai University, and Tsinghua University in China. He has received the Pregel (New York Academy of Science), Pattern Recognition Society, and Hildebrand (American Chemical Society) Chemical Physics awards.
Mathematics of Genome Analysis
Par :Formats :
- Nombre de pages139
- PrésentationBroché
- Poids0.23 kg
- Dimensions15,2 cm × 22,8 cm × 1,0 cm
- ISBN0-521-58526-0
- EAN9780521585262
- Date de parution01/11/2001
- CollectionStudies advanced Mathematics
- ÉditeurCambridge University Press
Résumé
The massive research effort known as the Human Genome Project is an attempt to record the sequence of the three billion nucleotides that make up the human genome and to identify individual genes within this sequence. Although the basic effort is of course a biological one, the description and classification of sequences also naturally lend themselves to mathematical and statistical modeling. This short textbook on the mathematics of genome analysis presents a brief description of several ways in which mathematics and statistics are being used in genome analysis and sequencing. It will be of interest not only to students but also to professional mathematicians curious about the subject.