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Data from: Deciphering conjugative plasmid permissiveness dynamics in wastewater microbiomes
负责人:
关键词:
metagenomics;Niche Modelling;Microbial Biology;molecular evolution;Bioinfomatics\/Phyloinfomatics;Community Ecology
DOI:
doi:10.5061/dryad.636b0
摘要:
a conjugative plasmids, leading to dissemination of potentially hazardous genetic material such as antimicrobial resistance genes (AMRGs). While current focus
Data from: Carotenoid metabolic profiling and transcriptome-genome mining reveal functional equivalence among blue-pigmented copepods
负责人:
关键词:
Acartia fossae;Transcriptomics;Oikopleura dioica;molecular evolution;Bioinfomatics\/Phyloinfomatics;Community Ecology;Behavior\/Social Evolution;Adaptation
DOI:
doi:10.5061/dryad.mm18b
摘要:
nding proteins responsible for astaxanthin formation and the blue phenotype. In blue O. dioica (class appendicularia), corresponding putative genes were identified from
Data from: Genomic characterization of sex-identification markers in Sebastes carnatus and Sebastes chrysomelas rockfishes
负责人:
关键词:
Genomics\/Proteomics;Sebastes chrysomelas;Evolution of Sex;Sebastes carnatus;molecular evolution;Fish;Bioinfomatics\/Phyloinfomatics
DOI:
doi:10.5061/dryad.3c8s8
摘要:
differences were also detected between sex-specific and autosomal loci. A PCR-RFLP assay validated the bioinformatic results and correctly identified sex of five
Data from: Association mapping reveals candidate loci for resistance and anemic response to an emerging temperature-driven parasitic
负责人:
关键词:
Bioinfomatics;Salmo trutta;climate change;association study;wild population;Host resistance;Parasite-induced Anemia;Phyloinfomatics
DOI:
doi:10.5061/dryad.rk744
摘要:
of association mapping to pinpoint genomic regions and potential causative genes underlying climate change-driven parasitic disease resistance and severity. Furtherm
Data from: Shifts of tundra bacterial and archaeal communities along a permafrost thaw gradient in Alaska
负责人:
关键词:
Environmental DNA;climate change;bacteria;Bioinfomatics\/Phyloinfomatics
DOI:
doi:10.5061/dryad.p1602
摘要:
of 97 samples, corresponding to 61 known classes and 470 genera. Soil depth and the associated soil physical-chemical properties had predominant impacts
Data from: Convergence of gut microbiomes in myrmecophagous mammals
负责人:
关键词:
Environmental DNA;bacteria;Bioinfomatics\/Phyloinfomatics;Community Ecology;Mammals
DOI:
doi:10.5061/dryad.390ng
摘要:
lian gut microbiota, with cases of convergence in global composition, but also examples of phylogenetic inertia. Our results reveal specialized placental myrmecoph
Data from: Controlling false discoveries in genome scans for selection
负责人:
关键词:
Natural Selection and Contemporary Evolution;Bioinfomatics\/Phyloinfomatics;Landscape Genetics;Ecological Genetics;Adaptation
DOI:
doi:10.5061/dryad.78642
摘要:
on can generate large numbers of false positive associations. Spurious association may indeed arise when shared demographic history, patterns
Data from: Compartment-specific transcriptomics in a reef-building coral exposed to elevated temperatures
负责人:
关键词:
climate change;Transcriptomics;Algae;Bioinfomatics\/Phyloinfomatics;Cnidarians;Pocillopora damicornis;Comparative Biology
DOI:
doi:10.5061/dryad.rh04m
摘要:
s utilized by both the coral hosts and their mutualistic Symbiodinium populations to acclimate to this temperature, mRNAs from both control (27°C) and high (30
Data from: Evaluation of the impact of RNA preservation methods of spiders for de novo transcriptome assembly
负责人:
关键词:
Genomics\/Proteomics;Parasteatoda tepidariorum;molecular evolution;Bioinfomatics\/Phyloinfomatics;Invertebrates;spider
DOI:
doi:10.5061/dryad.r94k7
摘要:
in comprehensive genetic information of a species of interest, especially in non-model species with large genomes such as spiders. However, high-quality RNA
Data from: De novo transcriptomic analyses for non-model organisms: an evaluation of methods across a multi-species data set
负责人:
关键词:
Reptiles;Transcriptomics;molecular evolution;Bioinfomatics\/Phyloinfomatics
DOI:
doi:10.5061/dryad.7c99f
摘要:
e to distinguish technical artefacts from the biological realities of their data before they can make inference. In this work, I explore these challenges

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