Defining window-boundaries for genomic analyses using smoothing spline techniques

[1]  C. Dimauro,et al.  Use of locally weighted scatterplot smoothing (LOWESS) regression to study selection signatures in Piedmontese and Italian Brown cattle breeds. , 2014, Animal genetics.

[2]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[3]  D. Gianola,et al.  A Genome-Wide Scan for Evidence of Selection in a Maize Population Under Long-Term Artificial Selection for Ear Number , 2013, Genetics.

[4]  E. Parra,et al.  Exploring signatures of positive selection in pigmentation candidate genes in populations of East Asian ancestry , 2013, BMC Evolutionary Biology.

[5]  B. Koseva,et al.  The Genomic Signal of Partial Sweeps in Mimulus guttatus , 2013, Genome biology and evolution.

[6]  D. Gianola,et al.  A High Resolution Genome-Wide Scan for Significant Selective Sweeps: An Application to Pooled Sequence Data in Laying Chickens , 2012, PloS one.

[7]  D. Petrov,et al.  LDx: Estimation of Linkage Disequilibrium from High-Throughput Pooled Resequencing Data , 2012, PloS one.

[8]  Dmitri A. Petrov,et al.  Empirical Validation of Pooled Whole Genome Population Re-Sequencing in Drosophila melanogaster , 2012, PloS one.

[9]  Andreia J. Amaral,et al.  Genome-Wide Footprints of Pig Domestication and Selection Revealed through Massive Parallel Sequencing of Pooled DNA , 2011, PloS one.

[10]  Aaron M. Tarone,et al.  Population-Based Resequencing of Experimentally Evolved Populations Reveals the Genetic Basis of Body Size Variation in Drosophila melanogaster , 2011, PLoS genetics.

[11]  Mats E. Pettersson,et al.  Genome-Wide Effects of Long-Term Divergent Selection , 2010, PLoS genetics.

[12]  Kevin R. Thornton,et al.  Genome-wide analysis of a long-term evolution experiment with Drosophila , 2010, Nature.

[13]  K. Lindblad-Toh,et al.  Whole-genome resequencing reveals loci under selection during chicken domestication , 2010, Nature.

[14]  Thomas J. Nicholas,et al.  Tracking footprints of artificial selection in the dog genome , 2010, Proceedings of the National Academy of Sciences.

[15]  Joshua M Akey,et al.  Where do we go from here? Constructing genomic maps of positive selection in humans: , 2009 .

[16]  Mehdi Sargolzaei,et al.  QMSim: a large-scale genome simulator for livestock , 2009, Bioinform..

[17]  M. Stoneking,et al.  Identification and Analysis of Genomic Regions with Large Between‐Population Differentiation in Humans , 2007, Annals of human genetics.

[18]  Kathryn Roeder,et al.  Integration of association statistics over genomic regions using Bayesian adaptive regression splines , 2003, Human Genomics.

[19]  Pardis C Sabeti,et al.  Detecting recent positive selection in the human genome from haplotype structure , 2002, Nature.

[20]  G. Wahba.  Spline Models for Observational Data , 1990 .

[21]  F. Tajima.  Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. , 1989, Genetics.

[22]  B. Silverman,et al.  Some Aspects of the Spline Smoothing Approach to Non‐Parametric Regression Curve Fitting , 1985 .

[23]  B. Weir,et al.  ESTIMATING F‐STATISTICS FOR THE ANALYSIS OF POPULATION STRUCTURE , 1984, Evolution; international journal of organic evolution.

[24]  Peter Craven,et al.  Smoothing noisy data with spline functions , 1978 .

[25]  G. Wahba.  Smoothing noisy data with spline functions , 1975 .

[26]  J. M. Smith,et al.  The hitch-hiking effect of a favourable gene. , 1974, Genetical research.

[27]  C. Reinsch.  Smoothing by spline functions , 1967 .

[28]  R A Fisher,et al.  The spread of a gene in natural conditions in a colony of the moth Panaxia dominula L. , 1947, Heredity.