Éric Bazin
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View article: Luminance and Brightness: Application to Lanthanide-Based Coordination Polymers
Luminance and Brightness: Application to Lanthanide-Based Coordination Polymers Open
Measuring the luminance of lanthanide-based coordination polymers under UV excitation is of prime importance for many technological applications. This study highlights that the quantum yield gives no information about the luminescence inte…
View article: Whole genome sequencing reveals Fagus sylvatica tree genetic heterogeneity between mono-and multi-specific plots in mixed forests
Whole genome sequencing reveals Fagus sylvatica tree genetic heterogeneity between mono-and multi-specific plots in mixed forests Open
Forests are ecosystems where naturally multiple tree species may coexist. Assessing possible tree behavior to ongoing climate change is key to forecast forest's future, and better understanding the links between tree community assembly and…
View article: Climate associated genetic variation in <i>Fagus sylvatica</i> and potential responses to climate change in the French Alps
Climate associated genetic variation in <i>Fagus sylvatica</i> and potential responses to climate change in the French Alps Open
Local adaptation patterns have been found in many plants and animals, highlighting the genetic heterogeneity of species along their range of distribution. In the next decades, global warming must induce a change in the selective pressures …
View article: Evaluation of redundancy analysis to identify signatures of local adaptation
Evaluation of redundancy analysis to identify signatures of local adaptation Open
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 vari…
View article: Pcadapt: An R Package to Perform Genome Scans for Selection Based on Principal Component Analysis
Pcadapt: An R Package to Perform Genome Scans for Selection Based on Principal Component Analysis Open
The R package pcadapt performs 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 s…
View article: Additional file 2: Table S1. of Changes in selective pressures associated with human population expansion may explain metabolic and immune related pathways enriched for signatures of positive selection
Additional file 2: Table S1. of Changes in selective pressures associated with human population expansion may explain metabolic and immune related pathways enriched for signatures of positive selection Open
Significant gene sets found using iHS scores and Daub et al. [19] approach. Threshold is set to <0.09. Table S2. Significant gene sets found using iHS scores and Gowinda approach. Threshold is set to <0.09. Table S3. Significant gene sets …
View article: Detecting Genomic Signatures of Natural Selection with Principal Component Analysis: Application to the 1000 Genomes Data
Detecting Genomic Signatures of Natural Selection with Principal Component Analysis: Application to the 1000 Genomes Data Open
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 (PCA). We show that …
View article: Detection of selective sweeps in structured populations: a comparison of recent methods
Detection of selective sweeps in structured populations: a comparison of recent methods Open
Identifying genomic regions targeted by positive selection has been a long‐standing interest of evolutionary biologists. This objective was difficult to achieve until the recent emergence of next‐generation sequencing, which is fostering t…
View article: Detection Of Selective Sweeps In Structured Populations: A Comparison Of Recent Methods.
Detection Of Selective Sweeps In Structured Populations: A Comparison Of Recent Methods. Open
Identifying genomic regions targeted by positive selection has been a long-standing interest of evolutionary biologists. This objective was difficult to achieve until the recent emergence of next-generation sequencing, which is fostering t…
View article: Detecting genomic signatures of natural selection with principal component analysis: application to the 1000 Genomes data
Detecting genomic signatures of natural selection with principal component analysis: application to the 1000 Genomes data Open
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 co…