dataService

您的位置: 首页 > 数据服务 > 数据列表页

筛选

共检索到39条 ,权限内显示50条;

Data from: Bayesian adaptive Markov Chain Monte Carlo estimation of genetic parameters
负责人:
关键词:
Hordeum vulgare L.
DOI:
doi:10.5061/dryad.0p88f
摘要:
for the estimation of genetic parameters in the linear mixed model with several random effects. In the learning phase of our algorithm, we use the hybrid Gibbs sampler
Data from: Enhanced computational methods for quantifying the effect of geographic and environmental isolation on genetic differentiation
负责人:
关键词:
Genetic;isolation by envrionment;Ecology;isolation by distance;geostatistical model;SNPs;genomics;Genomic data;Mantel tests;micro-saetellite
DOI:
doi:10.5061/dryad.r2rn0
摘要:
distance on genetic differentiation. Here, we enhance this method in several ways. 2. We modify the covariance model so as to fit better with mainstream
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: Spatially explicit summary statistics for historical population genetic inference
负责人:
关键词:
population genetics;phylogeography
DOI:
doi:10.5061/dryad.48hq1
摘要:
demographic models that reflect the complex spatio-temporal dynamics of species evolutionary histories. This study bridges phylogeography and landscape genetics
Data from: Infectious disease dynamics inferred from genetic data via sequential Monte Carlo
负责人:
关键词:
sequential Monte Carlo;HIV;maximum likelihood;Virus evolution;Phylodynamics;iterated filtering
DOI:
doi:10.5061/dryad.3634m
摘要:
population dynamics from genetic sequences, and they may also find application for evolutionary models with phenotypic rather than genotypic data.
Data from: Disentangling the effects of geographic and ecological isolation on genetic differentiation
负责人:
关键词:
Isolation by ecology;spatial genetics;isolation by distance;Zea mays;Landscape Genetics;Homo Sapiens;isolation by environment;partial Mantel test
DOI:
doi:10.5061/dryad.24kp5
摘要:
to genetic differentiation between sampled populations or individuals. We model the allele frequencies in a set of populations at a set of unlinked loci as spatial
Data from: A novel landscape genetics approach demonstrates the effects of human disturbance on the Udzungwa red colobus monkey (Procolobus
负责人:
关键词:
genetic diversity;Procolobus gordonorum;population structure;Landscape Genetics;conservation;red colobus;human disturbance;habitat fragmentation
DOI:
doi:10.5061/dryad.rr611
摘要:
wly developed landscape genetic approach that relies on a genetic algorithm to simultaneously optimize resistance surfaces to investigate the effect
Data from: Effective online Bayesian phylogenetics via sequential Monte Carlo with guided proposals
负责人:
关键词:
phylogenetics;sequential Monte Carlo;Online Inference;Bayesian inference
DOI:
doi:10.5061/dryad.n7n85
摘要:
Modern infectious disease outbreak surveillance produces continuous streams of sequence data which require phylogenetic analysis as data arrives
Data from: Global lack of flyway structure in a cosmopolitan bird revealed by a genome wide survey of single nucleotide polymorphisms
负责人:
关键词:
phylogeography;Birds;Bioinfomatics\/Phyloinfomatics;Anas platyrhynchos;Wildlife Management;Population Genetics - Empirical;Adaptation
DOI:
doi:10.5061/dryad.1bq39
摘要:
yses for testing models of population structure pointed to strong genetic connectivity among the world’s mallard population. These diverse approaches all support
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:
the metabolic reprogramming towards inferring oncogenes. The algorithm incorporated Recon 2.2 network with the Human Protein Atlas to reconstruct genome-scale metabolic network models

首页上一页1234下一页尾页

意 见 箱

匿名:登录

个人用户登录

找回密码

第三方账号登录

忘记密码

个人用户注册

必须为有效邮箱
6~16位数字与字母组合
6~16位数字与字母组合
请输入正确的手机号码

信息补充