Some mathematical questions in biology : DNA sequence analysis
著者
書誌事項
Some mathematical questions in biology : DNA sequence analysis
(Lectures on mathematics in the life sciences, v. 17)
American Mathematical Society, c1986
大学図書館所蔵 件 / 全27件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
"Proceedings of the 1984 Symposium [on] Some Mathematical Questions in Biology held at the annual meeting of the American Association for the Advancement of Science in New York, New York, May 28, 1984 ... sponsored by the National Science Foundation"--T.p. verso
Includes bibliographies
内容説明・目次
内容説明
Several data banks around the world are accumulating DNA sequences at a feverish rate, with tremendous potential for furthering our knowledge of how biological systems code and pass on information. The sophisticated mathematical analysis of that data is just beginning. The Eighteenth Annual Symposium on Some Mathematical Questions in Biology was held in conjunction with the Annual Meeting of the AAAS and brought together speakers knowledgeable in both biology and mathematics to discuss these developments and to emphasize the need for rigorous, efficient computational tools.These computational tools include biologically relevant definitions of sequence similarity and string matching algorithms. The solutions for some of these problems have great generality; the string matching methods first developed for biological sequences have now been applied to areas such as geology, linguistics, and speech recognition. There is a great potential here for creating of new mathematics to handle this growing data base, with new applications for many areas of mathematics, computer science, and statistics.
目次
Unresolved problems in DNA sequence analysis by W. M. Fitch Pattern recognition in DNA by P. H. Sellers Probability distribution for DNA sequence comparisons by M. S. Waterman Some probabilistic and statistical problems in the analysis of DNA sequences by S. Tavare RNA folding prediction: the continued need for interaction between biologists and mathematicians by M. Zucker.
「Nielsen BookData」 より