筛选
科学数据
统计数据
共检索到144条 ,权限内显示50条;
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Development of highly reliable in silico SNP resource and genotyping assay from exome capture and sequencing: an example from black spruce
- 负责人:
- DOI:
- doi:10.5061/dryad.tr87v
- 摘要:
- of the genotyping array and the relevance of the selection criteria used to delineate the new P. mariana in silico SNP resource. Furthermore, in silico SNPs were gene
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Additional file 3: of A practical approach to detect ancestral haplotypes in livestock populations
- 负责人:
- 关键词:
- Genetics Evolutionary Biology Ecology 69999 Biological Sciences not elsewhere classified Marine Biology
- DOI:
- doi:10.6084/m9.figshare.c.3623066_d3.v1
- 摘要:
- ve frequency to other haplotypes (frequency of the haplotype divided by the sum of the frequencies of all haplotypes detected in the cluster for the total populati
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Genome-wide association study of a Varroa-specific defense behavior in honeybees (Apis mellifera)
- 负责人:
- DOI:
- doi:10.5061/dryad.7ds27
- 摘要:
- SNP array to analyze SNPs associated with detection and uncapping of Varroa-parasitized brood by individual worker bees (Apis mellifera). For this study, 22
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: A 34K SNP genotyping array for Populus trichocarpa: Design, application to the study of natural populations and transferability to other
- 负责人:
- DOI:
- doi:10.5061/dryad.1051d
- 摘要:
- ge single nucleotide polymorphism (SNP) genotyping arrays still offers the most cost-effective solution. Herein we report on the design and performance of a SNP genotyping array
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Whole genome sequence accuracy is improved by replication in a population of mutagenized sorghum.
- 负责人:
- 关键词:
- DOI:
- doi:10.5061/dryad.t80gj
- 摘要:
- on to detect false positive induced variants in next-generation sequencing data permits higher throughput variant detection with greater accuracy. We use
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Neutral and adaptive genomic signatures of rapid poleward range expansion
- 负责人:
- DOI:
- doi:10.5061/dryad.n0hk7
- 摘要:
- on. The latter signature was identified at a single SNP as well as in a set of covarying SNPs using a polygenic multilocus approach to detect selection. Ove
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: SNPs selected by information content outperform randomly selected microsatellite loci for delineating genetic identificati
- 负责人:
- DOI:
- doi:10.5061/dryad.5vp20
- 摘要:
- the resolving power of a widely utilized microsatellite dataset to detect structure and introgression with that of different datasets that combine a variable numb
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
on single nucleotide polymorphism (SNP) markers.
- 负责人:
- Gilbey, John
- DOI:
- doi:10.5061/dryad.12d36
- 摘要:
- de polymorphic (SNP) markers for detecting genetic structuring in Atlantic salmon in Scotland and NE England and their ability to allow accurate genetic stock identificati
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Polygenic adaptation on height is overestimated due to uncorrected stratification in genome-wide association studies
- 负责人:
- DOI:
- doi:10.5061/dryad.8g5g6j4
- 摘要:
- ant SNPs were included, leading to excitement about the prospect of analyzing large fractions of the genome to detect polygenic adaptati
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Signatures of polygenic adaptation associated with climate across the range of a threatened fish species with high genetic connectivity
- 负责人:
- Harrisson, Katherine
- 关键词:
- Adaptation Conservation Genetics Ecological Genetics Fisheries Management Landscape Genetics Wildlife Management
- DOI:
- doi:10.5061/dryad.57m0f
- 摘要:
- advances in genomic technologies, detecting adaptive variation in natural populations remains challenging. Key challenges in gene-environment