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

Computational Genome Analysis An Introduction Richard C Deonier

Name: Computational Genome Analysis An Introduction Richard C Deonier
SKU: BELL-1337210
Price: 31.00 USD
Availability: InStock
Rating: 4.4 (12 reviews)

SKU: BELL-1337210

$ 31.00 ~~$ 45.00~~ (-31%)

4.4

12 reviews

Computational Genome Analysis An Introduction Richard C Deonier instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 6 MB

Pages: 555

Author: Richard C. Deonier, Simon Tavaré, Michael S. Waterman

ISBN: 9780387987859, 0387987851

Language: English

Year: 2005

Product desciption

Computational Genome Analysis An Introduction Richard C Deonier by Richard C. Deonier, Simon Tavaré, Michael S. Waterman 9780387987859, 0387987851 instant download after payment.

This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book features a free download of the R software statistics package and the text provides great crossover material that is interesting and accessible to students in biology, mathematics, statistics and computer science. More than 100 illustrations and diagrams reinforce concepts and present key results from the primary literature. Exercises are given at the end of chapters.