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ee other Brassicaceae species
负责人:
关键词:
Arabidopsis thaliana;Brassica rapa;duplicate genes;Genome sequencing;plant genomics;Comparative genomics;Raphanus raphanistrum
DOI:
doi:10.5061/dryad.t50j5
摘要:
s, retained radish duplicates diverged primarily via maintenance of ancestral expression level in one copy and reduction of expression level in others
Data from: De novo transcriptome assembly for the lobster Homarus americanus and characterization of differential gene expression across
负责人:
关键词:
gene expression transcriptome RNA-Seq central pattern generation locomotion neuronal differentiation lobster nervous system CNS heart
DOI:
doi:10.5061/dryad.h617h
摘要:
), we used RNA-Seq to characterize gene expression patterns across tissues types. We also compared control tissues with those challenged with the ne
Data from: Differentially expressed mRNA targets of differentially expressed miRNAs predict changes in the TP53 axis and carcinogenesis rela
负责人:
关键词:
skin cancer;Arsenic;Homo Sapiens;MiRNA;mRNA;Transformation;TP53
DOI:
doi:10.5061/dryad.3q26p
摘要:
-induced cancer mechanisms are not well defined, but several studies indicate that mutation is not the driving force and that microRNA expression changes
Data from: Essential gene disruptions reveal complex relationships between phenotypic robustness, pleiotropy, and fitness
负责人:
关键词:
Heterogeneity;pleiotropy;Yeast;Robustness;CalMorph;Saccharomyces cerevisiae;Fitness
DOI:
doi:10.5061/dryad.ft7dj
摘要:
ted to pleiotropy. While the fitness profile across a range of expression levels is idiosyncratic to each gene, the global pattern indicates that there is a window
Data from: Analyzing negative feedback using a synthetic gene network expressed in the Drosophila melanogaster embryo
负责人:
关键词:
synthetic gene networks;negative feedback;canalization;shuttling
DOI:
doi:10.5061/dryad.68864
摘要:
the functionality of one of these network motifs, negative feedback, in a multi-cellular system. This was accomplished using a synthetic network express
Data from: The genetic architecture of biofilm formation in a clinical isolate of Saccharomyces cerevisiae
负责人:
关键词:
colony morphology;Bulk Segregant Analysis;cAMP-PKA;Biofilm;Natural Variation;Saccharomyces cerevisiae
DOI:
doi:10.5061/dryad.mn71g
摘要:
conserved cell signaling network. Principal among these is CYR1, which encodes the enzyme that catalyzes production of cAMP. Through a combination of gene expression
Data from: Impacts of temperature and lunar day on gene expression profiles during a monthly reproductive cycle in the brooding coral
负责人:
关键词:
climate change;coral reproduction;RNA-seq;Transcriptomics;Transcriptomics;Cnidarians;Invertebrates;Pocillopora damicornis;Ecological Genetics;planulation
DOI:
doi:10.5061/dryad.qt584
摘要:
e environmental variables into molecular signals are unknown. To gain insight into these processes, global gene expression profiles in the coral Pocillopora damicornis wer
Data from: Dissecting nutrient-related co-expression networks in phosphate starved poplars
负责人:
关键词:
nutrition;ionome;phosphorus deficiciency;Not applicable;transcriptome;Populus × canescens
DOI:
doi:10.5061/dryad.3t5q5
摘要:
coexpression network analysis revealed a hierarchical structure of gene clusters, which separated phosphate starvation responses correlated
Data from: An integrative approach for mapping differentially expressed genes and network components using novel parameters to elucidate
负责人:
关键词:
Mesozoic;Colorectal cancer;Homo Sapiens;bioinformatics;Systems biology;Biological Networks
DOI:
doi:10.5061/dryad.5b1j0
摘要:
in a biological phenomenon is extensively simplified. The microarray analyses facilitated differential expression of 631 significant genes employed
Data from: Connecting the sun to flowering in sunflower adaptation
负责人:
关键词:
Helianthus annuus;Life History Evolution;Phenotypic Plasticity;quantitative genetics;Ecological Genetics;Adaptation
DOI:
doi:10.5061/dryad.49sk0
摘要:
the expression of genes in the flowering-time regulatory network across wild populations of the common sunflower, Helianthus annuus, that we found to be adaptively

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