Quantifying selection acting on a complex trait using allele frequency time series data.
about
Sequencing pools of individuals — mining genome-wide polymorphism data without big fundingCombining experimental evolution with next-generation sequencing: a powerful tool to study adaptation from standing genetic variationElucidating the molecular architecture of adaptation via evolve and resequence experimentsPopulation-level effects of fitness costs associated with repressible female-lethal transgene insertions in two pest insectsThe evolutionary time machine: using dormant propagules to forecast how populations can adapt to changing environmentsMulti-locus analysis of genomic time series data from experimental evolutionIdentifying signatures of selection in genetic time seriesDetecting selection using time-series data of allele frequencies with multiple independent reference Loci.The Effects of Population Size Histories on Estimates of Selection Coefficients from Time-Series Genetic Data.Thermal tolerance in the keystone species Daphnia magna-a candidate gene and an outlier analysis approach.Inferring fitness landscapes by regression produces biased estimates of epistasis.Clear: Composition of Likelihoods for Evolve and Resequence Experiments.Rapid identification of genes controlling virulence and immunity in malaria parasites.Advances in quantitative trait analysis in yeast.Population genetics inference for longitudinally-sampled mutants under strong selectionInferring genome-wide recombination landscapes from advanced intercross lines: application to yeast crosses.Gaussian process test for high-throughput sequencing time series: application to experimental evolution.Methods to characterize selective sweeps using time serial samples: an ancient DNA perspective.Natural history collections as windows on evolutionary processes.Controlling for P-value inflation in allele frequency change in experimental evolution and artificial selection experiments.High-resolution mapping of complex traits with a four-parent advanced intercross yeast population.A guide for the design of evolve and resequencing studies.Genome-wide mapping of cellular traits using yeast.The characteristic trajectory of a fixing allele: a consequence of fictitious selection that arises from conditioning.A conditional likelihood is required to estimate the selection coefficient in ancient DNA.Estimating virus effective population size and selection without neutral markers.Clonal Heterogeneity Influences the Fate of New Adaptive Mutations.Quantifying Selection with Pool-Seq Time Series Data.
P2860
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P2860
Quantifying selection acting on a complex trait using allele frequency time series data.
description
2011 nî lūn-bûn
@nan
2011 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2011年の論文
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2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Quantifying selection acting on a complex trait using allele frequency time series data.
@ast
Quantifying selection acting on a complex trait using allele frequency time series data.
@en
Quantifying selection acting on a complex trait using allele frequency time series data.
@nl
type
label
Quantifying selection acting on a complex trait using allele frequency time series data.
@ast
Quantifying selection acting on a complex trait using allele frequency time series data.
@en
Quantifying selection acting on a complex trait using allele frequency time series data.
@nl
prefLabel
Quantifying selection acting on a complex trait using allele frequency time series data.
@ast
Quantifying selection acting on a complex trait using allele frequency time series data.
@en
Quantifying selection acting on a complex trait using allele frequency time series data.
@nl
P2860
P50
P356
P1476
Quantifying selection acting on a complex trait using allele frequency time series data
@en
P2093
Christopher J R Illingworth
P2860
P304
P356
10.1093/MOLBEV/MSR289
P577
2011-11-23T00:00:00Z