Genome-Scale Algorithm Design: Biological Sequence Analysis in the Era of High-Throughput Sequencing

Mäkinen, Veli; Belazzougui, Djamal; Cunial, Fabio; Tomescu, Alexandru I.

ISBN 10: 1107078539 / ISBN 13: 9781107078536

Edité par Cambridge University Press, 2015

A propos de cet article

Hardback book in nearly new condition: firm and square with strong joints. Just a few hardly noticeable rubs or very mild bumps. Hence a non-text page shows a small 'damaged' stamp. Despite such this book looks and feels unread. Thus the contents are crisp, fresh and tight. And so a very nice book in great condition, now offered for sale at a reasonable price.

N° de réf. du vendeur 203129

Détails bibliographiques

• Titre: Genome-Scale Algorithm Design: Biological Sequence Analysis in the Era of High-Throughput Sequencing
• Éditeur: Cambridge University Press
• Date de parution: 2015
• Langue: anglais
• ISBN à 10 chiffres: 1107078539
• ISBN à 13 chiffres: 9781107078536
• Reliure: Hardcover
• Édition: First Edition.
• État de l'article: Like New

A propos de ce titre

Synopsis

Provides an integrated picture of the latest developments in algorithmic techniques, with numerous worked examples, algorithm visualisations and exercises.

À propos des auteurs

Veli Mäkinen is a Professor of Computer Science at the University of Helsinki, Finland, where he heads a research group working on genome-scale algorithms as part of the Finnish Center of Excellence in Cancer Genetics Research. He has taught advanced courses on string processing, data compression, biological sequence analysis, along with introductory courses on bioinformatics.

Djamal Belazzougui is a postdoctoral researcher at the University of Helsinki. His research topics include hashing, succinct and compressed data structures and string algorithms.

Fabio Cunial is a postdoctoral researcher at the University of Helsinki. His research focuses on string algorithms and genome analysis.

Alexandru I. Tomescu is a postdoctoral researcher at the University of Helsinki. His current research interests lie at the intersection of computational biology and computer science.