adegenet: a R package for the multivariate analysis of genetic markers

نویسنده

  • Thibaut Jombart
چکیده

UNLABELLED The package adegenet for the R software is dedicated to the multivariate analysis of genetic markers. It extends the ade4 package of multivariate methods by implementing formal classes and functions to manipulate and analyse genetic markers. Data can be imported from common population genetics software and exported to other software and R packages. adegenet also implements standard population genetics tools along with more original approaches for spatial genetics and hybridization. AVAILABILITY Stable version is available from CRAN: http://cran.r-project.org/mirrors.html. Development version is available from adegenet website: http://adegenet.r-forge.r-project.org/. Both versions can be installed directly from R. adegenet is distributed under the GNU General Public Licence (v.2).

برای دانلود رایگان 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 1.3-6

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

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

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

Genetic analysis of pike-perch, Sander lucioperca L., populations revealed by microsatellite DNA markers in Iran

This study was conducted in order to investigate genetic diversity and population structure of pike-perch in the Northern part of Iran. For this purpose, 207 adult pike-perches from four regions of the Caspian Sea watershed (Talesh Coasts, Anzali Wetland, Chaboksar Coasts and Aras Dam) were collected. DNA was extracted and by using 15 pairs of microsatellite primers, Polymerase Chain Reaction (...

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

عنوان ژورنال:
  • Bioinformatics

دوره 24 11  شماره 

صفحات  -

تاریخ انتشار 2008