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Data from: Machine learning-based differential network analysis: a study of stress-responsive transcriptomes in Arabidopsis thaliana
负责人:
关键词:
Systems biology;Arabidopsis thaliana;abiotic\/environmental stress;differential network;bioinformatics;transcriptome analysis;gene coexpression network;Random Forest;Machine Learning
DOI:
doi:10.5061/dryad.41b9g
摘要:
prior to network construction, through learning the patterns of 32 expression characteristics of known stress-related genes. The retained “informative
Data from: Fitness and microbial networks of the common wasp, Vespula vulgaris (Hymenoptera: Vespidae), in its native and introduced range
负责人:
Gruber, Monica A. M.
关键词:
ecological networks microbiota invasive species 16S 18S
DOI:
doi:10.5061/dryad.3ds9484
摘要:
, immune gene expression, and microbial network complexity of invasive common wasps, Vespula vulgaris. Microbial networks were assayed using 16S and 18S sequencing
Data from: Performance of gene expression analyses using de novo assembled transcripts in polyploid species
负责人:
关键词:
polyploid species;gene expression
DOI:
doi:10.5061/dryad.4p6n481
摘要:
Motivation: Quality of gene expression analyses using de novo assembled transcripts in species that experienced recent polyploidization remains
A high resolution atlas of gene expression in the domestic sheep (Ovis aries)
负责人:
University Of Edinburgh;;University Of Edinburgh
关键词:
Transcriptome genome functional annotation FAANG sheep Ovis aries ruminant gene expression atlas transcription network Biological Sciences::Genetics
DOI:
doi:10.7488/ds/2112
摘要:
ue in the sheep gene expression atlas dataset. Network-based cluster analysis of this dataset grouped genes according to their expression pattern. The pr
Data from: Comparison of gene coexpression profiles and construction of conserved gene networks to find functional modules
负责人:
关键词:
mouse;conserved coexpression;gene module;gene coexpression;human
DOI:
doi:10.5061/dryad.p15m6
摘要:
functional relationships must be identified. For this purpose, the similarities of gene expression patterns and gene sequences have been separately utilized, although the combined inf
Data from: Integrated network analysis identifies fight-club nodes as a class of hubs encompassing key putative switch genes that induce major
负责人:
关键词:
Network analysis
DOI:
doi:10.5061/dryad.5h979
摘要:
gative correlation with the expression profiles of neighboring genes in the network. A special subset named “switch genes” was identified, with the additional property of many signific
Data from: Insights into the ecology and evolution of polyploid plants through network analysis
负责人:
关键词:
gene loss;polyploidy;gene expression;Gene Retention;Coexpression;Gossypium hirsutum;Network analysis
DOI:
doi:10.5061/dryad.256hn
摘要:
as components of complex pathways and networks, polyploid changes in genes and gene expression have typically been evaluated as either individual genes
Data from: Genetics of gene expression responses to temperature stress in a sea urchin gene network
负责人:
关键词:
Strongylocentrotus purpuratus;climate change;Transcriptomics;Phenotypic Plasticity;Echinoderms;quantitative genetics
DOI:
doi:10.5061/dryad.36md8
摘要:
the contribution of additive genetic variation to gene expression during development of the purple sea urchin, Strongylocentrotus purpuratus, under
Data from: Sequencing-based gene network analysis provides a core set of gene resource for understanding thermal adaptation in Zhikong scallop
负责人:
关键词:
marine bivalve;EcoP15I-tagged digital gene expression;Chlamys farreri;thermal stress;weighted gene coexpression network analysis
DOI:
doi:10.5061/dryad.53j13
摘要:
thermal adaptation. In this study, we conducted transcriptome-wide gene expression profiling of the scallop Chlamys farreri challenged by acute and chronic heat stress
Data from: An updated gene atlas for maize reveals organ-specific and stress-induced genes
负责人:
关键词:
B73 AGPv4 differential expression co‐expression presence‐absence variants gene atlas
DOI:
doi:10.5061/dryad.5p58q34
摘要:
transcriptome across six organs revealed 4,154 organ‐specific and 7,704 differentially expressed genes following stress treatment. Gene co‐expression network

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