Global landscape of a co-expressed gene network in barley and its application to gene discovery in Triticeae crops.
about
Crop improvement using life cycle datasets acquired under field conditionsMolecular genetics, physiology and biology of self-incompatibility in BrassicaceaeBioinformatics opportunities for identification and study of medicinal plantsReuse of public genome-wide gene expression dataVisual analysis of transcriptome data in the context of anatomical structures and biological networksAnalysis of global gene expression in Brachypodium distachyon reveals extensive network plasticity in response to abiotic stress.Characterization and co-expression analysis of WRKY orthologs involved in responses to multiple abiotic stresses in Pak-choi (Brassica campestris ssp. chinensis)Transcriptome comparison and gene coexpression network analysis provide a systems view of citrus response to 'Candidatus Liberibacter asiaticus' infection.Genome-wide expression of transcriptomes and their co-expression pattern in subtropical maize (Zea mays L.) under waterlogging stress.Incorporating motif analysis into gene co-expression networks reveals novel modular expression pattern and new signaling pathways.Genes and co-expression modules common to drought and bacterial stress responses in Arabidopsis and riceDiscovering functional modules across diverse maize transcriptomes using COB, the Co-expression Browser.Harnessing Next Generation Sequencing in Climate Change: RNA-Seq Analysis of Heat Stress-Responsive Genes in Wheat (Triticum aestivum L.).Deciphering the transcriptional regulation and spatiotemporal distribution of immunity response in barley to Pyrenophora graminea fungal invasion.An Integrated Bioinformatics Analysis Reveals Divergent Evolutionary Pattern of Oil Biosynthesis in High- and Low-Oil PlantsCo-expression network analysis of duplicate genes in maize (Zea mays L.) reveals no subgenome bias.The plant ontology as a tool for comparative plant anatomy and genomic analysesUnlocking Triticeae genomics to sustainably feed the futureAdvances in omics and bioinformatics tools for systems analyses of plant functions.Systems biology-based approaches toward understanding drought tolerance in food crops.Inferring gene functions through dissection of relevance networks: interleaving the intra- and inter-species views.Co-expression and co-responses: within and beyond transcription.Members of the barley NAC transcription factor gene family show differential co-regulation with senescence-associated genes during senescence of flag leaves.The Choice between MapMan and Gene Ontology for Automated Gene Function Prediction in Plant Science.Identification and Network-Enabled Characterization of Auxin Response Factor Genes in Medicago truncatula.Identification of disease-related miRNAs based on co-expression network in spinal cord injury.A developmental transcriptional network for maize defines coexpression modules.Natural variation of barley vernalization requirements: implication of quantitative variation of winter growth habit as an adaptive trait in East Asia.
P2860
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P2860
Global landscape of a co-expressed gene network in barley and its application to gene discovery in Triticeae crops.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Global landscape of a co-expre ...... discovery in Triticeae crops.
@en
type
label
Global landscape of a co-expre ...... discovery in Triticeae crops.
@en
prefLabel
Global landscape of a co-expre ...... discovery in Triticeae crops.
@en
P2860
P50
P356
P1476
Global landscape of a co-expre ...... discovery in Triticeae crops.
@en
P2093
Takuhiro Yoshida
Yukiko Uehara-Yamaguchi
P2860
P304
P356
10.1093/PCP/PCR035
P577
2011-03-24T00:00:00Z