Computational and Statistical Approaches to Genomics

preview-18
  • Computational and Statistical Approaches to Genomics Book Detail

  • Author : Wei Zhang
  • Release Date : 2007-12-26
  • Publisher : Springer Science & Business Media
  • Genre : Science
  • Pages : 426
  • ISBN 13 : 0387262881
  • File Size : 55,55 MB

Computational and Statistical Approaches to Genomics by Wei Zhang PDF Summary

Book Description: The second edition of this book adds eight new contributors to reflect a modern cutting edge approach to genomics. It contains the newest research results on genomic analysis and modeling using state-of-the-art methods from engineering, statistics, and genomics. These tools and models are then applied to real biological and clinical problems. The book’s original seventeen chapters are also updated to provide new initiatives and directions.

Disclaimer: www.yourbookbest.com does not own Computational and Statistical Approaches to Genomics books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Computational Genome Analysis

Computational Genome Analysis

File Size : 19,19 MB
Total View : 4451 Views
DOWNLOAD

This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles

Introduction to Computational Genomics

Introduction to Computational Genomics

File Size : 19,19 MB
Total View : 5809 Views
DOWNLOAD

Where did SARS come from? Have we inherited genes from Neanderthals? How do plants use their internal clock? The genomic revolution in biology enables us to ans

Computational Genome Analysis

Computational Genome Analysis

File Size : 33,33 MB
Total View : 2707 Views
DOWNLOAD

This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles