menu
{ "item_title" : "The Tree with Many Branches", "item_author" : [" Tommy Rodriguez "], "item_description" : "Want to build an evolutionary tree? Here's your chance to learn how. The field of bioinformatics was born out of the need to manage, analyze, and examine raw genomic data in meaningful and exciting ways, such as the discipline of computational phylogenetics would provide. The evolutionary inferences reached among the several peer-reviewed articles contained in this book are neither novel nor breakthrough. However, it is in the application of computational techniques, experiment design, and probabilistic models where this research finds a stronghold. As a matter of practicality, the original manuscripts have been edited for a broader audience due to its highly technical language. The essays compiled in these pages have undergone a facelift, from their original scientific format into a more reader-friendly layout, as to better accommodate two different perspectives - both experts and non-experts alike.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/66/320/649/166320649X_b.jpg", "price_data" : { "retail_price" : "13.99", "online_price" : "13.99", "our_price" : "13.99", "club_price" : "13.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
The Tree with Many Branches|Tommy Rodriguez
The Tree with Many Branches : A Collection of Essays in Computational Phylogenetics
local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Want to build an evolutionary tree? Here's your chance to learn how. The field of bioinformatics was born out of the need to manage, analyze, and examine raw genomic data in meaningful and exciting ways, such as the discipline of computational phylogenetics would provide. The evolutionary inferences reached among the several peer-reviewed articles contained in this book are neither novel nor breakthrough. However, it is in the application of computational techniques, experiment design, and probabilistic models where this research finds a stronghold. As a matter of practicality, the original manuscripts have been edited for a broader audience due to its highly technical language. The essays compiled in these pages have undergone a facelift, from their original scientific format into a more reader-friendly layout, as to better accommodate two different perspectives - both experts and non-experts alike.

Details

  • ISBN-13: 9781663206497
  • ISBN-10: 166320649X
  • Publisher: iUniverse
  • Publish Date: August 2020
  • Dimensions: 8.5 x 5.5 x 0.31 inches
  • Shipping Weight: 0.39 pounds
  • Page Count: 134

Related Categories

BAM Customer Reviews