Výsledky vyhledávání - "Keurcien Luu"

Efficient toolkit implementing best practices for principal component analysis of population genetic data

Autor: Florian Privé, John J. McGrath, Michael G. B. Blum, Bjarni J. Vilhjálmsson, Keurcien Luu

Publikováno v: Bioinformatics
Privé, F, Luu, K, Blum, M G B, McGrath, J J & Vilhjálmsson, B J 2020, ' Efficient toolkit implementing best practices for principal component analysis of population genetic data ', Bioinformatics (Online), vol. 36, no. 16 . https://doi.org/10.1093/bioinformatics/btaa520

Motivation Principal component analysis (PCA) of genetic data is routinely used to infer ancestry and control for population structure in various genetic analyses. However, conducting PCA analyses can be complicated and has several potential pitfalls

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f87133308e72cbdc8c27de81170d272a
https://doi.org/10.1093/bioinformatics/btaa520

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Performing highly efficient genome scans for local adaptation with R package pcadapt version 4

Autor: Michael G. B. Blum, Florian Privé, Bjarni J. Vilhjálmsson, Keurcien Luu

Publikováno v: Privé, F, Luu, K, Vilhjálmsson, B J & Blum, M G B 2020, ' Performing highly efficient genome scans for local adaptation with R package pcadapt version 4 ', Molecular Biology and Evolution, vol. 37, no. 7, pp. 2153-2154 . https://doi.org/10.1093/molbev/msaa053

R package pcadapt is a user-friendly R package for performing genome scans for local adaptation. Here, we present version 4 of pcadapt which substantially improves computational efficiency while providing similar results. This improvement is made pos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::134521ee25dd1b39eeb1af4512aeee4f
https://pure.au.dk/portal/da/publications/performing-highly-efficient-genome-scans-for-local-adaptation-with-r-package-pcadapt-version-4(04234851-640b-4459-9741-6f0c38e91574).html

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Evaluation of redundancy analysis to identify signatures of local adaptation

Autor: Michael G. B. Blum, Eric Bazin, Keurcien Luu, Thibaut Capblancq

Publikováno v: Molecular Ecology Resources
Molecular Ecology Resources, Wiley/Blackwell, 2018, ⟨10.1111/1755-0998.12906⟩

Ordination is a common tool in ecology that aims at representing complex biological information in a reduced space. In landscape genetics, ordination methods such as principal component analysis (PCA) have been used to detect adaptive variation based

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d437cc7b3580f0520bc428cbc4c9ac2a
https://pubmed.ncbi.nlm.nih.gov/29802785

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Pcadapt: An R Package to Perform Genome Scans for Selection Based on Principal Component Analysis

Autor: Keurcien Luu, Michael G. B. Blum, Eric Bazin

Publikováno v: Molecular Ecology Resources
Molecular Ecology Resources, Wiley/Blackwell, 2016, 17 (1), pp.67-77. ⟨10.1111/1755-0998.12592⟩

The R packagepcadaptperforms genome scans to detect genes under selection based on population genomic data. It assumes that candidate markers are outliers with respect to how they are related to population structure. Because population structure is a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21afd75be086e6491b89814d69a21a38
https://doi.org/10.1101/056135

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Identifying outlier loci in admixed and in continuous populations using ancestral population differentiation statistics

Autor: Keurcien Luu, Olivier François, Michael G. B. Blum, Helena Martins, Kevin Caye

Publikováno v: Molecular Ecology
Molecular Ecology, Wiley, 2016, 25 (20), pp.5029-5042

Finding genetic signatures of local adaptation is of great interest for many population genetic studies. Common approaches to sorting selective loci from their genomic background focus on the extreme values of the fixation index,FST, across loci. How

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3ef75cead827d1f1ab51d36f21d6442
https://hal.archives-ouvertes.fr/hal-01432547

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Detecting Genomic Signatures of Natural Selection with Principal Component Analysis: Application to the 1000 Genomes Data

Autor: Eric Bazin, Nicolas Duforet-Frebourg, Michael G. B. Blum, Guillaume Laval, Keurcien Luu

Publikováno v: Molecular Biology and Evolution
Molecular Biology and Evolution, Oxford University Press (OUP), 2015, ⟨10.1093/molbev/msv334⟩
Molecular Biology and Evolution, 2015, ⟨10.1093/molbev/msv334⟩

To characterize natural selection, various analytical methods for detecting candidate genomic regions have been developed. We propose to perform genome-wide scans of natural selection using principal component analysis. We show that the common Fst in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11214322467a51e0f4c7d43d4c34279e
https://hal.archives-ouvertes.fr/hal-01280469/document

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