Comparative network analysis reveals that tissue specificity and gene function are important factors influencing the mode of expression evolution in Arabidopsis and rice.
about
Elucidating gene function and function evolution through comparison of co-expression networks of plantsLearning from Co-expression Networks: Possibilities and ChallengesResolution of Brassicaceae Phylogeny Using Nuclear Genes Uncovers Nested Radiations and Supports Convergent Morphological EvolutionToward community standards in the quest for orthologsSystematic identification of functional plant modules through the integration of complementary data sourcesReverse engineering: a key component of systems biology to unravel global abiotic stress cross-talk.ATTED-II in 2014: evaluation of gene coexpression in agriculturally important plants.PlantExpress: A Database Integrating OryzaExpress and ArthaExpress for Single-species and Cross-species Gene Expression Network Analyses with Microarray-Based Transcriptome Data.Genome-wide identification of grain filling genes regulated by the OsSMF1 transcription factor in rice.The tomato RLK superfamily: phylogeny and functional predictions about the role of the LRRII-RLK subfamily in antiviral defense.An S-locus independent pollen factor confers self-compatibility in 'Katy' apricotCross-family translational genomics of abiotic stress-responsive genes between Arabidopsis and Medicago truncatula.Global expression differences and tissue specific expression differences in rice evolution result in two contrasting types of differentially expressed genes.Correcting for the bias due to expression specificity improves the estimation of constrained evolution of expression between mouse and human.Co-expression network analysis of duplicate genes in maize (Zea mays L.) reveals no subgenome bias.ATTED-II in 2016: A Plant Coexpression Database Towards Lineage-Specific CoexpressionComparative co-expression analysis in plant biology.Co-expression and co-responses: within and beyond transcription.Current challenges and future potential of tomato breeding using omics approaches.Identification of altered metabolic pathways of γ-irradiated rice mutant via network-based transcriptome analysis.Analysis of bHLH coding genes using gene co-expression network approach.Connectivity in gene coexpression networks negatively correlates with rates of molecular evolution in flowering plants.Expression atlas and comparative coexpression network analyses reveal important genes involved in the formation of lignified cell wall in Brachypodium distachyon.Towards integration of population and comparative genomics in forest trees.Phylogenomic analysis of gene co-expression networks reveals the evolution of functional modules.PlaNet: Comparative Co-Expression Network Analyses for Plants.Functional characterization of drought-responsive modules and genes in Oryza sativa: a network-based approachThe developmental transcriptome atlas of the biofuel crop Camelina sativa.Expression Pattern Similarities Support the Prediction of Orthologs Retaining Common Functions after Gene Duplication Events.Integrated bioinformatics to decipher the ascorbic acid metabolic network in tomato.Correlation networks visualization.ComPlEx: conservation and divergence of co-expression networks in A. thaliana, Populus and O. sativaLSTrAP: efficiently combining RNA sequencing data into co-expression networks.Elucidating the genotype-phenotype relationships and network perturbations of human shared and specific disease genes from an evolutionary perspective.A transcriptomic network underlies microstructural and physiological responses to cadmium in Populus x canescens.Characteristics and significance of intergenic polyadenylated RNA transcription in Arabidopsis.Evolutionary analyses of non-family genes in plants.A developmental transcriptional network for maize defines coexpression modules.Asymmetric functional divergence of young, dispersed gene duplicates in Arabidopsis thaliana.Dissecting plant genomes with the PLAZA comparative genomics platform.
P2860
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P2860
Comparative network analysis reveals that tissue specificity and gene function are important factors influencing the mode of expression evolution in Arabidopsis and rice.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年学术文章
@wuu
2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
2011年學術文章
@zh
2011年學術文章
@zh-hant
name
Comparative network analysis r ...... ution in Arabidopsis and rice.
@en
Comparative network analysis r ...... ution in Arabidopsis and rice.
@nl
type
label
Comparative network analysis r ...... ution in Arabidopsis and rice.
@en
Comparative network analysis r ...... ution in Arabidopsis and rice.
@nl
prefLabel
Comparative network analysis r ...... ution in Arabidopsis and rice.
@en
Comparative network analysis r ...... ution in Arabidopsis and rice.
@nl
P2860
P356
P1433
P1476
Comparative network analysis r ...... ution in Arabidopsis and rice.
@en
P2093
Sara Movahedi
P2860
P304
P356
10.1104/PP.111.177865
P407
P577
2011-05-13T00:00:00Z