Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology by Dan Gusfield - May 1997

Cambridge University Press, 1997-05-28. 1. hardcover. Used: Good.

Cambridge University Press. 1. Good. Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported

E-029: Cambridge University Press. Very Good. 1997. Hardcover. Hardcover. 8vo. Cambridge University Press, Cambridge, UK. 1999. 556 pgs. Illustrated throughout. Reprint. Bound in illustrated paper covered boards with titles present to the spine and front board. Boards have light shelf-wear present to the extremities. No ownership marks present. Text is clean and free of marks. Binding tight and solid. Traditionally an area of study in computer science, string algorithms have, in recent years, become an increasingly important part of biology, particularly genetics. This volume is a comprehensive look at computer algorithms for string processing. In addition to pure computer science, Gusfield adds extensive discussions on biological problems that are cast as string problems and on methods developed to solve them. This text emphasizes the fundamental ideas and techniques central to today's applications. New approaches to this complex material simplify methods that up to now have been for… Read More

Cambridge University Press, 1997-05-28. Hardcover. Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLYNO ACCESS CODE, NO CD, Ships with Emailed Tracking

Cambridge University Press, 1997-05-28. Hardcover. New. New. In shrink wrap. Looks like an interesting title!

Cambridge University Press, 1997-05-28. 1. hardcover. Used:Good.

Hard Cover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The Algorithms on Strings, Trees and Sequences: Computer Science and Computational Biology.

Cambridge University Press CUP , pp. 556 . Hardback. New.

Cambridge Univ Pr, 1997. Hardcover. New. 1st edition. 534 pages. 10.75x7.25x1.50 inches.

Hardback. New. This book describes a range of string problems in computer science and molecular biology and the algorithms developed to solve them.