logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Structural Bioinformatics An Algorithmic Approach Burkowski

  • SKU: BELL-5144434
Structural Bioinformatics An Algorithmic Approach Burkowski
$ 31.00 $ 45.00 (-31%)

4.7

26 reviews

Structural Bioinformatics An Algorithmic Approach Burkowski instant download after payment.

Publisher: CRC Press
File Extension: PDF
File size: 7.6 MB
Pages: 444
Author: Burkowski, Forbes J
ISBN: 9781420011791, 1420011790
Language: English
Year: 2008

Product desciption

Structural Bioinformatics An Algorithmic Approach Burkowski by Burkowski, Forbes J 9781420011791, 1420011790 instant download after payment.

... the book presents a number of topics in structural bioinformatics, aiming to emphasize the beauty of the area as well as some of the main problems. It targets advanced undergraduate students and hence the description of more complicated algorithms is avoided. It nevertheless provides an interesting introduction to the area.
-Lucian Ilie, Mathematical Reviews, Issue 2009k


Abstract: Shows how to apply key algorithms to solve problems related to macromolecular structure. This title helps students go further in their study of structural biology. It solves the longest common subsequence problem using dynamic programming and explains the science models for the Nussinov and MFOLD algorithms.

Related Products