Exploring tomato gene functions based on coexpression modules using graph clustering and differential coexpression approaches.
about
Learning from Co-expression Networks: Possibilities and ChallengesVTCdb: a gene co-expression database for the crop species Vitis vinifera (grapevine).Maximizing capture of gene co-expression relationships through pre-clustering of input expression samples: an Arabidopsis case study.Revealing the hidden relationship by sparse modules in complex networks with a large-scale analysis.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.Discovering functional modules across diverse maize transcriptomes using COB, the Co-expression Browser.Annotation of gene function in citrus using gene expression information and co-expression networks.No3CoGP: non-conserved and conserved coexpressed gene pairs.Comparative transcriptome analyses of flower development in four species of Achimenes (Gesneriaceae).Differential Coexpression Analysis Reveals Extensive Rewiring of Arabidopsis Gene Coexpression in Response to Pseudomonas syringae Infection.Co-expression and co-responses: within and beyond transcription.Network analysis for gene discovery in plant-specialized metabolism.Current challenges and future potential of tomato breeding using omics approaches.Chaperone network composition in Solanum lycopersicum explored by transcriptome profiling and microarray meta-analysis.CytoCluster: A Cytoscape Plugin for Cluster Analysis and Visualization of Biological NetworksAn RNA-Seq-based reference transcriptome for Citrus.Integrated bioinformatics to decipher the ascorbic acid metabolic network in tomato.The MORPH algorithm: ranking candidate genes for membership in Arabidopsis and tomato pathways.Comparative transcriptomics with self-organizing map reveals cryptic photosynthetic differences between two accessions of North American Lake cress.Melonet-DB, a Grand RNA-Seq Gene Expression Atlas in Melon (Cucumis melo L.).Deciphering ascorbic acid regulatory pathways in ripening tomato fruit using a weighted gene correlation network analysis approach.Topological features of a gene co-expression network predict patterns of natural diversity in environmental response.A Systems Analysis With "Simplified Source-Sink Model" Reveals Metabolic Reprogramming in a Pair of Source-to-Sink Organs During Early Fruit Development in Tomato by LED Light Treatments
P2860
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P2860
Exploring tomato gene functions based on coexpression modules using graph clustering and differential coexpression approaches.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Exploring tomato gene function ...... ntial coexpression approaches.
@en
type
label
Exploring tomato gene function ...... ntial coexpression approaches.
@en
prefLabel
Exploring tomato gene function ...... ntial coexpression approaches.
@en
P2093
P2860
P356
P1433
P1476
Exploring tomato gene function ...... ntial coexpression approaches.
@en
P2093
Atsushi Fukushima
Mariko Hayakumo
Shoko Hikosaka
Tomoko Nishizawa
P2860
P304
P356
10.1104/PP.111.188367
P407
P577
2012-02-03T00:00:00Z