𝔖 Scriptorium
✦   LIBER   ✦
πŸ“

Genetic Data Analysis II Methods for Discrete Population Genetic Data

✍ Scribed by Bruce S. Weir

Publisher
Sinauer Associates
Year
1996
Tongue
English
Leaves
458
Edition
2 Sub
Category
Library
⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis

Genetic Data Analysis, first published in 1990, became the standard reference for ways to interpret discrete population genetic data. Genetic Data Analysis II retains the strengths of the original book and, based upon the suggestions of users, includes many new features, notably the revision of Chapter 10 (Phylogeny Reconstruction) to incorporate newer methods, and new chapters on Linkage and Individual Identification.

Genetic Data Analysis II features an expanded set of Exercises, with solutions, and an expanded list of references. In addition, a suite of Windows-based programs written by Paul O. Lewis and Dmitri Zaykin is available without charge from the Web site maintained by the program in Statistical Genetics at North Carolina State University.

πŸ“œ SIMILAR VOLUMES

Gene Network Inference: Verification of
πŸ“ Gene Network Inference: Verification of Methods for Systems Genetics Data
✍ Andrea Pinna, Nicola Soranzo, Alberto de la Fuente, Ina Hoeschele (auth.), Alber πŸ“‚ Library πŸ“… 2013 πŸ› Springer-Verlag Berlin Heidelberg 🌐 English

<p><p>This book presents recent methods for Systems Genetics (SG) data analysis, applying them to a suite of simulated SG benchmark datasets. Each of the chapter authors received the same datasets to evaluate the performance of their method to better understand which algorithms are most useful for o

Computational Methods for Next Generatio
πŸ“ Computational Methods for Next Generation Sequencing Data Analysis
✍ Ion Mandoiu, Alexander Zelikovsky (eds.) πŸ“‚ Library πŸ“… 2016 πŸ› Wiley 🌐 English

<p><b>Introduces readers to core algorithmic techniques for next-generation sequencing (NGS) data analysis and discusses a wide range of computational techniques and applications</b><b>Β </b></p> <p>This book provides an in-depth survey of some of the recent developments in NGS and discusses mathemat

Computational Methods for Next Generatio
πŸ“ Computational Methods for Next Generation Sequencing Data Analysis
✍ Ion Mandoiu, Alexander Zelikovsky πŸ“‚ Library πŸ“… 2016 πŸ› Wiley 🌐 English

<p><b>Introduces readers to core algorithmic techniques for next-generation sequencing (NGS) data analysis and discusses a wide range of computational techniques and applications</b><b>Β </b></p> <p>This book provides an in-depth survey of some of the recent developments in NGS and discusses mathemat

Grade Models and Methods for Data Analys
πŸ“ Grade Models and Methods for Data Analysis: With Applications for the Analysis of Data Populations
✍ Frederick Ruland (auth.), Prof. Teresa Kowalczyk, Prof. ElΕΌbieta PleszczyΕ„ska, D πŸ“‚ Library πŸ“… 2004 πŸ› Springer-Verlag Berlin Heidelberg 🌐 English

<p><P>This book provides a new grade methodology for intelligent data analysis. It introduces a specific infrastructure of concepts needed to describe data analysis models and methods. This monograph is the only book presently available covering both the theory and application of grade data analysis

Genetic data analysis for plant and anim
πŸ“ Genetic data analysis for plant and animal breeding
✍ Holland, James; Isik, Fikret; Maltecca, Christian πŸ“‚ Library πŸ“… 2017 πŸ› Springer 🌐 English

<p>This book fills the gap between textbooks of quantitative genetic theory, and software manuals that provide details on analytical methods but little context or perspective on which methods may be most appropriate for a particular application. Accordingly this book is composed of two sections. The