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共检索到89条 ,权限内显示50条;
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Data from: Reference-free transcriptome assembly in non-model animals from next generation sequencing data
- 负责人:
- Cahais, Vincent
- DOI:
- doi:10.5061/dryad.5g32f94b
- 摘要:
- Next-generation sequencing (NGS) technologies offer the opportunity for population genomic study of non-model organisms sampled in the wild
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: The chimerical genome of Isla del Coco feral pigs (Costa Rica), an isolated population since 1793 but with remarkable levels of diversity
- 负责人:
- DOI:
- doi:10.5061/dryad.p610q
- 摘要:
- , including the adaptive processes triggered by new environments. Here, we provide a comprehensive genomic study of Isla del Coco (Costa Rica) feral pigs
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: -Challenges of NGS in conservation management: insights from long-term monitoring of corridor effects on the genetic diversity of mouse
- 负责人:
- DOI:
- doi:10.5061/dryad.2fh81pd
- 摘要:
- the genotyping performance and estimates of MHC variability generated by SSCP/Sanger-sequencing with those obtained by high throughput sequencing (NGS, Illumina
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Phylogenetic affiliation of SSU rRNA genes generated by massively parallel sequencing: new insights into the freshwater protist diversity
- 负责人:
- 关键词:
- Protozoa;protist
- DOI:
- doi:10.5061/dryad.66hc3
- 摘要:
- Recent advances in next-generation sequencing (NGS) technologies spur progress in determining the microbial diversity in various ecosystems
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Genome-wide RAD sequence data provide unprecedented resolution of species boundaries and relationships in the Lake Victoria cichlid adaptive radiation
- 负责人:
- DOI:
- doi:10.5061/dryad.6300n
- 摘要:
- Although population genomic studies using next generation sequencing (NGS) data are becoming increasingly common, studies focusing
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Using partial aggregation in Spatial Capture Recapture
- 负责人:
- 关键词:
- Gulo gulo;wolverines
- DOI:
- doi:10.5061/dryad.pd612qp
- 摘要:
- 1. Spatial capture-recapture (SCR) models are commonly used for analyzing data collected using non-invasive genetic sampling (NGS). Opportunistic NGS
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Efficient detection of novel nuclear markers for Brassicaceae by transcriptome sequencing
- 负责人:
- DOI:
- doi:10.5061/dryad.63j2j
- 摘要:
- of molecular polymorphisms in nuclear markers. Next-generation sequencing (NGS) techniques nowadays provide a powerful approach to overcome this limitation. We present
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Analysis of microsatellite loci in tree of heaven (Ailanthus altissima (Mill.) Swingle) using SSR-GBS
- 负责人:
- 关键词:
- genotyping by sequencing;SNP;microsatellite;Amplicon Sequencing;Ailanthus altissima;Tree of heaven
- DOI:
- doi:10.5061/dryad.873b2j2
- 摘要:
- , next generation sequencing (NGS) has offered advanced techniques for efficiently identifying microsatellite markers and accurately genotyping samples. Here, we identify ne
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Reporting tumor molecular heterogeneity in histopathological diagnosis
- 负责人:
- DOI:
- doi:10.5061/dryad.hf93m
- 摘要:
- next-generation sequencing (TM-NGS) in characterizing gastrointestinal cancer molecular heterogeneity. Methods: 35 gastrointestinal tract tumors, five of each intestinal
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: A NGS approach to the encrusting Mediterranean sponge Crella elegans (Porifera, Demospongiae, Poecilosclerida): transcriptome sequencing
- 负责人:
- Pérez-Porro, Alicia R.
- 关键词:
- Crella elegans de novo assembly transcriptome characterization Mediterranean sponge life cycle stages
- DOI:
- doi:10.5061/dryad.50dc6
- 摘要:
- and transcriptome sequencing in a cost-effective manner. Here we present the first NGS (next-generation sequencing) approach to understanding the life cycle of an encrusting