Article

Detecting Selection in Low-Coverage High-Throughput Sequencing Data using Principal Component Analysis

2021-03-02

Abstract excerpt

1 Identification of selection signatures between populations is often an important part of a population genetic study. Leveraging high-throughput DNA sequencing larger sample sizes of populations with similar ancestries has become increasingly common. This has led to the need of methods capable of identifying signals of selection in populations with a continuous cline of genetic differentiation. Individuals from c...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 21a89fa5-773d-5b5a-8ac1-0adf6d72ba27
DOI: 10.1101/2021.03.01.432540

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Detecting Selection in Low-Coverage High-Throughput Sequencing Data using Principal Component AnalysisDOI 10.1101/2021.03.01.432540Read

Detecting selection in low-coverage high-throughput sequencing data using principal component analysis.Semantic proximity Read

Genotypes of informative loci from 1000 Genomes data allude evolution and mixing of human populations.Semantic proximity Read

Evaluation of population structure inferred by principal component analysis or the admixture model.Semantic proximity Read

Evaluation of population structure inferred by principal component analysis or the admixture modelSemantic proximity Read

Principal components analysis corrects for stratification in genome-wide association studies.Semantic proximity Read

Efficient population assignment and outlier detection in human populations using biallelic markers chosen by principal component-based rankings.Semantic proximity Read

A PCA-based method for ancestral informative markers selection in structured populations.Semantic proximity Read

Determining population structure from k-mer frequencies.Semantic proximity Read

Fast Principal-Component Analysis Reveals Convergent Evolution of ADH1B in Europe and East Asia.Semantic proximity Read

Fast principal components analysis reveals convergent evolution of ADH1B gene in Europe and East AsiaSemantic proximity Read

On rare variants in principal component analysis of population stratification.Semantic proximity Read

fastNGSadmix: admixture proportions and principal component analysis of a single NGS sample.Semantic proximity Read