Dan Gusfield (Davis University of California)

Gebundenes Buch

Integer Linear Programming in Computational and Systems Biology

An Entry-Level Text and Course

Beschreibung

Integer linear programming is a versatile modeling and optimization technique with potential to transform biological computation. This hands-on text, designed for students, researchers, and professionals in both biology and computational fields, demonstrates applications in genomics, RNA and protein folding, DNA sequencing, phylogenetics, and more.

Autor

Dan Gusfield is Distinguished Professor of Computer Science at the University of California, Davis, and a Fellow of the IEEE, the ACM, and the International Society of Computational Biology (ISCB). His previous books include The Stable Marriage Problem (1989, with Robert W. Irving), Algorithms on Strings, Trees and Sequences (Cambridge, 1997) and ReCombinatorics (2014). He has served as chair of the computer science department at UCD (2000-04), and was the founding Editor-in-Chief of the IEEE/ACM Transactions of Computational Biology and Bioinformatics until January 2009. He has been instrumental in the definition and development of the intersection between computer science and computational biology.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 428
• Erscheinungstermin: 13. Juni 2019
• Englisch
• Abmessung: 259mm x 185mm x 30mm
• Gewicht: 946g
• ISBN-13: 9781108421768
• ISBN-10: 1108421768
• Artikelnr.: 54687246