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Data from: Assessing the performance of DNA barcoding using posterior predictive simulations
负责人:
关键词:
biodiversity;clustering algorithms;Operational Taxonomic Units;model adequacy;substitution models;genetic distances
DOI:
doi:10.5061/dryad.pg470
摘要:
on in model performance across taxonomic groups, clustering algorithms, genetic divergence thresholds and substitution models. Taken together, these results illustrate
Data from: The spatial distribution of foragers and food patches can influence antipredator vigilance
负责人:
Beauchamp, Guy
关键词:
antipredator vigilance fission-fusion dynamics genetic algorithm model group size predation
DOI:
doi:10.5061/dryad.2p61j
摘要:
and can also target groups of specific sizes. I used a genetic algorithm approach to simultaneously tackle joining and vigilance choices by prey individual
Data from: Oncogene inference optimization using constraint-based modelling incorporated with protein expression in normal and tumour tissues
负责人:
关键词:
differential evolution;Flux balance analysis;multiple-level optimization;Cancer cell metabolism
DOI:
doi:10.5061/dryad.364vk23
摘要:
Cancer cells are known to exhibit unusual metabolic activity and yet, few metabolic cancer driver genes are known. Genetic alterations and epigenetic
Data from: Assessing gene-environment interactions for common and rare variants with binary traits using gene-trait similarity regression
负责人:
关键词:
GLMM;Binary traits;Rare variant association;gene-environment interaction;Marker-set interaction analysis;Variance-Component Methods
DOI:
doi:10.5061/dryad.742gv
摘要:
Accounting for gene-environment (GxE) interactions in complex trait association studies can facilitate our understanding of genetic heterogene
Data from: Composite measures of selection can improve the signal-to-noise ratio in genome scans
负责人:
关键词:
composite signals of selection;meta-analysis;genome-wide associations;minimum covariance determinant;Mahalanobis distance
DOI:
doi:10.5061/dryad.bp11m
摘要:
The growing wealth of genomic data is yielding new insights into the genetic basis of adaptation, but it also presents the challenge of extracti
Data from: Identifying insecticide resistance genes in mosquito by combining AFLP genome scan and 454 pyrosequencing
负责人:
关键词:
insects;Natural Selection and Contemporary Evolution;molecular evolution;Aedes aegypti;insecticide resistance;Adaptation
DOI:
doi:10.5061/dryad.344852tm
摘要:
population genetics algorithms, a frequentist and a Bayesian approach. Out of these, 11 were successfully sequenced. Three contained transposable elements (TEs
Data from: Mixed linear model approach for mapping quantitative trait loci underlying crop seed traits
负责人:
关键词:
software qtl mapping seed traits mixed linear model gene-environment interaction
DOI:
doi:10.5061/dryad.8311n
摘要:
e then included in the model as cofactors to control background genetic effects on the putative QTL(s). Finally, a QTL full model is constructed and model selecti
Data from: Fully automated sequence alignment methods are comparable to, and much faster than, traditional methods in large data sets: an examp
负责人:
关键词:
DOI:
doi:10.5061/dryad.nc220
摘要:
Aligning sequences for phylogenetic analysis (multiple sequence alignment; MSA) is an important, but increasingly computationally expensive step
Data from: The program STRUCTURE does not reliably recover the correct population structure when sampling is uneven: sub-sampling and new esti
负责人:
关键词:
clustering algorithm;Danaus plexippus;STRUCTURE software;hierarchical structure;genetic differentiation;sampling scheme
DOI:
doi:10.5061/dryad.2d4m9
摘要:
Inferences of population structure and more precisely the identification of genetically homogeneous groups of individuals are essential to the fields
Data from: Ecological resistance surfaces predict fine scale genetic differentiation in a terrestrial woodland salamander
负责人:
关键词:
Plethodontidae;Circuitscape resistance;resistance optimization;Caudata;Landscape Genetics;Amphibians;Plethodon albagula
DOI:
doi:10.5061/dryad.m4f17
摘要:
ecological processes as genetic resistance surfaces. In our study, we determine the landscape and ecological factors affecting gene flow in the western slimy sal

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