Tree with Many Branches (e-bog) af Rodriguez, Tommy
Rodriguez, Tommy

Tree with Many Branches e-bog

35,47 DKK
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 brea…
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.
E-bog 35,47 DKK
Forfattere Rodriguez, Tommy (forfatter)
Forlag iUniverse
Udgivet 20.08.2020
Længde 134 sider
Genrer Reference works
Sprog English
Format epub
Beskyttelse LCP
ISBN 9781663206480

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.