fastNGSadmix: admixture proportions and principal component analysis of a single NGS sample

نویسندگان

  • Emil Jørsboe
  • Kristian Hanghøj
  • Anders Albrechtsen
چکیده

Motivation Estimation of admixture proportions and principal component analysis (PCA) are fundamental tools in populations genetics. However, applying these methods to low- or mid-depth sequencing data without taking genotype uncertainty into account can introduce biases. Results Here we present fastNGSadmix, a tool to fast and reliably estimate admixture proportions and perform PCA from next generation sequencing data of a single individual. The analyses are based on genotype likelihoods of the input sample and a set of predefined reference populations. The method has high accuracy, even at low sequencing depth and corrects for the biases introduced by small reference populations. Availability and implementation The admixture estimation method is implemented in C ++ and the PCA method is implemented in R. The code is freely available at http://www.popgen.dk/software/index.php/FastNGSadmix. Contact [email protected]. Supplementary information Supplementary data are available at Bioinformatics online.

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عنوان ژورنال:
  • Bioinformatics

دوره 33 19  شماره 

صفحات  -

تاریخ انتشار 2017