Web-queryable large-scale data sets for hypothesis generation in plant biology.
about
Learning from Co-expression Networks: Possibilities and ChallengesOntologies as integrative tools for plant scienceSustainable digital infrastructure. Although databases and other online resources have become a central tool for biological research, their long-term support and maintenance is far from secureThe potential of text mining in data integration and network biology for plant research: a case study on ArabidopsisSystematic identification of functional plant modules through the integration of complementary data sourcesePlant and the 3D data display initiative: integrative systems biology on the world wide webCOXPRESdb in 2015: coexpression database for animal species by DNA-microarray and RNAseq-based expression data with multiple quality assessment systems.Digital gene expression signatures for maize development.CORNET: a user-friendly tool for data mining and integration.Mapping plant interactomes using literature curated and predicted protein-protein interaction data sets.NOF1 encodes an Arabidopsis protein involved in the control of rRNA expression.New perspectives on glutamine synthetase in grasses.Genomics and bioinformatics resources for crop improvement.Functional network construction in Arabidopsis using rule-based machine learning on large-scale data sets.Integrating bioinformatic resources to predict transcription factors interacting with cis-sequences conserved in co-regulated genes.Araport: the Arabidopsis information portalBioinformatics Tools for Exploring the SUMO Gene Network.Assessment of community-submitted ontology annotations from a novel database-journal partnership.Correlation of aquaporins and transmembrane solute transporters revealed by genome-wide analysis in developing maize leaf.Systems biology uncovers the foundation of natural genetic diversity.Omics meet networks - using systems approaches to infer regulatory networks in plants.Systems biology approaches to abscisic acid signaling.Integrative systems biology: an attempt to describe a simple weed.Network analysis for gene discovery in plant-specialized metabolism.CressInt: a user-friendly web resource for genome-scale exploration of gene regulation in Arabidopsis thaliana.Integration of bioinformatics and synthetic promoters leads to the discovery of novel elicitor-responsive cis-regulatory sequences in Arabidopsis.PLAZA: a comparative genomics resource to study gene and genome evolution in plants.CORNET 2.0: integrating plant coexpression, protein-protein interactions, regulatory interactions, gene associations and functional annotations.Global landscape of a co-expressed gene network in barley and its application to gene discovery in Triticeae crops.50 years of Arabidopsis research: highlights and future directions.Envisaging the Regulation of Alkaloid Biosynthesis and Associated Growth Kinetics in Hairy Roots of Vinca minor Through the Function of Artificial Neural Network.The Bio-Analytic Resource for Plant Biology.Galanthamine, an anti-cholinesterase drug, effects plant growth and development in Artemisia tridentata Nutt. via modulation of auxin and neurotransmitter signaling.Correlation networks visualization.Modeling the effects of light and sucrose on in vitro propagated plants: a multiscale system analysis using artificial intelligence technologyRNA-seq of Arabidopsis pollen uncovers novel transcription and alternative splicing.Galanthamine, an anticholinesterase drug, effects plant growth and development in Artemisia tridentate Nutt. via modulation of auxin and neutrotransmitter signaling.VirtualPlant: a software platform to support systems biology research.Comparative transcriptome atlases reveal altered gene expression modules between two Cleomaceae C3 and C4 plant species.Root Cell-Specific Regulators of Phosphate-Dependent Growth.
P2860
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P2860
Web-queryable large-scale data sets for hypothesis generation in plant biology.
description
2009 nî lūn-bûn
@nan
2009 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Web-queryable large-scale data sets for hypothesis generation in plant biology.
@ast
Web-queryable large-scale data sets for hypothesis generation in plant biology.
@en
type
label
Web-queryable large-scale data sets for hypothesis generation in plant biology.
@ast
Web-queryable large-scale data sets for hypothesis generation in plant biology.
@en
prefLabel
Web-queryable large-scale data sets for hypothesis generation in plant biology.
@ast
Web-queryable large-scale data sets for hypothesis generation in plant biology.
@en
P2860
P356
P1433
P1476
Web-queryable large-scale data sets for hypothesis generation in plant biology.
@en
P2093
Nicholas J Provart
P2860
P304
P356
10.1105/TPC.109.066050
P577
2009-04-28T00:00:00Z