A tutorial for Discriminant Analysis of Principal Components (DAPC) using adegenet 1.3-6

نویسنده

  • Thibaut Jombart
چکیده

This vignette provides a tutorial for applying the Discriminant Analysis of Principal Components (DAPC [1]) using the adegenet package [2] for the R software [3]. This methods aims to identify and describe genetic clusters, although it can in fact be applied to any quantitative data. We illustrate how to use find.clusters to identify clusters, and dapc to describe the relationships between these clusters. More advanced topics are then introduced, such as advanced graphics, assessing the stability of DAPC results and using supplementary individuals.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A tutorial for Discriminant Analysis of Principal Components (DAPC) using adegenet 1.3-0

This vignette provides a tutorial for applying the Discriminant Analysis of Principal Components (DAPC [1]) using the adegenet package [2] for the R software [3]. This methods aims to identify and describe genetic clusters, although it can in fact be applied to any quantitative data. We illustrate how to use find.clusters to identify clusters, and dapc to describe the relationships between thes...

متن کامل

A tutorial for Discriminant Analysis of Principal Components (DAPC) using adegenet 1.4-0

This vignette provides a tutorial for applying the Discriminant Analysis of Principal Components (DAPC [1]) using the adegenet package [2] for the R software [3]. This methods aims to identify and describe genetic clusters, although it can in fact be applied to any quantitative data. We illustrate how to use find.clusters to identify clusters, and dapc to describe the relationships between thes...

متن کامل

بررسی ساختار جمعیتی گاوهای بومی ایران با استفاده از تحلیل افتراقی مؤلفه‌های اصلی

Effective management of genetic resources in the domestic animals is based on characterization of genetic structure and diversity among populations. Strategies reducing complexity and dimensions of data are required to analyze the genetic relationships between populations based on dense genomic data. The objective of this study was to use the discriminant analysis of principal components (DAPC)...

متن کامل

Discrimination of Golab apple storage time using acoustic impulse response and LDA and QDA discriminant analysis techniques

ABSTRACT- Firmness is one of the most important quality indicators for apple fruits, which is highly correlated with the storage time. The acoustic impulse response technique is one of the most commonly used nondestructive detection methods for evaluating apple firmness. This paper presents a non-destructive method for classification of Iranian apple (Malus domestica Borkh. cv. Golab) according...

متن کامل

Discriminant analysis of principal components and pedigree assessment of genetic diversity and population structure in a tetraploid potato panel using SNPs

The reported narrow genetic base of cultivated potato (Solanum tuberosum) can be expanded by the introgression of many related species with large genetic diversity. The analysis of the genetic structure of a potato population is important to broaden the genetic base of breeding programs by the identification of different genetic pools. A panel composed by 231 diverse genotypes was characterized...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013