Omics meet networks - using systems approaches to infer regulatory networks in plants.
about
Two glycosyltransferases involved in anthocyanin modification delineated by transcriptome independent component analysis in Arabidopsis thalianaVisual analysis of transcriptome data in the context of anatomical structures and biological networksReverse engineering: a key component of systems biology to unravel global abiotic stress cross-talk.Comparative analyses of stress-responsive genes in Arabidopsis thaliana: insight from genomic data mining, functional enrichment, pathway analysis and phenomics.Analyzing LC/MS metabolic profiling data in the context of existing metabolic networks.Enhancing systems medicine beyond genotype data by dynamic patient signatures: having information and using it tooControl of Arabidopsis root developmentCell type-specific transcriptional profiling: implications for metabolite profiling.Modeling transcriptional networks regulating secondary growth and wood formation in forest trees.Network component analysis provides quantitative insights on an Arabidopsis transcription factor-gene regulatory networkComplementary proteome and transcriptome profiling in developing grains of a notched-belly rice mutant reveals key pathways involving in chalkiness formationA genome-wide regulatory framework identifies maize pericarp color1 controlled genes.Conserved non-coding regulatory signatures in Arabidopsis co-expressed gene modules.AGRIS: the Arabidopsis Gene Regulatory Information Server, an update.VANTED v2: a framework for systems biology applicationsDiscovering functional modules across diverse maize transcriptomes using COB, the Co-expression Browser.The protein expression landscape of the Arabidopsis root.Co-expression network analysis of duplicate genes in maize (Zea mays L.) reveals no subgenome bias.STIFDB2: an updated version of plant stress-responsive transcription factor database with additional stress signals, stress-responsive transcription factor binding sites and stress-responsive genes in Arabidopsis and riceEnhanced Y1H assays for Arabidopsis.Metabolic studies in plant organs: don't forget dilution by growth.The role of regulatory T cells in neurodegenerative diseases.Systems analysis of plant functional, transcriptional, physical interaction, and metabolic networks.Network analysis for gene discovery in plant-specialized metabolism.Gene networks controlling Arabidopsis thaliana flower development.Cracking the Kranz enigma with systems biology.SND1 transcription factor-directed quantitative functional hierarchical genetic regulatory network in wood formation in Populus trichocarpa.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.Systems biology and genome-wide approaches to unveil the molecular players involved in the pre-germinative metabolism: implications on seed technology traits.Differentiated transcriptional signatures in the maize landraces of Chiapas, Mexico.Personalized medicine: Has it started yet? A reconstruction of the early historyA stele-enriched gene regulatory network in the Arabidopsis root.Machine learning-based differential network analysis: a study of stress-responsive transcriptomes in Arabidopsis.A developmental transcriptional network for maize defines coexpression modules.Lessons from the Human Genome Project: Modesty, Honesty, and Realism.Diurnal Transcriptome and Gene Network Represented through Sparse Modeling in Brachypodium distachyon.Application of the Gini correlation coefficient to infer regulatory relationships in transcriptome analysis.Integrated omics analysis of specialized metabolism in medicinal plants.
P2860
Q24606922-A889A1D8-EFBF-4499-8D8A-71C8ADB0023AQ30000829-F0BC6C05-3736-4841-9967-E46D751D6F30Q30584792-245A40B1-A311-49E2-AAC1-E2D7FB0417A5Q30621151-887B2B33-D507-4965-8101-C7A5EC0AEC31Q30665314-8F56603D-9A03-4E60-84B4-F45BF5ADC25FQ30709572-79AC8B0D-BC6E-45A9-8F32-9F3B7849282BQ33353161-6C772DE2-256F-4BE0-B80C-968D1E51CCABQ33353249-93065AA1-052F-4CE6-A26D-B17B52C3F0B0Q33356696-C0E3D559-DCEC-47CA-A812-79B5919A2D2CQ33357039-2C146044-0B94-4747-8A5D-79782BFE808FQ33727716-C411BF59-ADA1-44C7-8A65-E60DCBE1C6BBQ34347741-C3F0975E-99E6-4A37-810D-2326276D617AQ34425196-DDE179C9-6F56-4BE7-B460-3155F90397DEQ34456259-17BC46D9-07CE-4466-93FF-795107BE0512Q34472582-793F1D01-B41D-4C8A-858B-D038292FCC81Q35186754-71AC759F-3AA7-4C19-9E3B-878F120D5F6CQ35935676-F4431360-AC37-48A6-AF3E-33BCD93A9412Q36183031-582980AE-87FC-4790-89AA-EDF7DBD021A7Q36640795-7E30D809-9D8B-4255-8375-DB3C2703568EQ37289762-CC330F3E-A30F-473C-B36C-1930B8F366CDQ37629376-C3F48B83-D122-4135-97BB-0CD8611163B1Q38035240-6CC7F09B-D6A5-4A7D-BBE1-AC6C17301176Q38056560-110322C6-6494-42BE-9FD6-2698D4746AA3Q38075582-990FEF25-D97A-42B6-BF7B-4E05A7BD1D29Q38129455-13AD513B-179B-49D7-A659-9B94378146F9Q38186688-4161DA69-5E1D-4424-B173-846EC5A3A5F5Q38482819-ECCCFE9E-9EF3-4B81-B14F-208ABEFE7376Q38496806-73684CE9-979B-42CC-8195-19920E558525Q38502849-CFE7FEC4-FEB2-401A-9095-C5596652A43CQ38606784-E8118E37-C526-47C3-BD6B-2DC4056FBC2FQ38978407-A8C5A53C-8DF7-4468-81FA-70215A20E97FQ41468172-89853A39-87A7-4F5C-B37C-5FD6CBD38A16Q42149731-77D50689-C073-4FBC-90DB-2FA264C69B86Q42652266-3652C395-E65A-4FCD-8685-737552DA2BD0Q44609278-6FE93E20-2B71-4970-AFBA-A4D38157B6F2Q44747815-157F4D7C-B5FC-4EF5-B99C-86B25717D665Q47095748-285C642F-D52D-47C0-9C5E-676D6A8AA9DCQ47116056-0C2089FB-CE00-4158-A7F3-6B46355A27DFQ47382803-5095BC23-4A5A-4F2D-B35E-D3F77FC431A6Q48062767-924956C3-B75A-41D1-B985-A51CED12FFFD
P2860
Omics meet networks - using systems approaches to infer regulatory networks in plants.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 28 December 2009
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Omics meet networks - using systems approaches to infer regulatory networks in plants.
@en
Omics meet networks - using systems approaches to infer regulatory networks in plants.
@nl
type
label
Omics meet networks - using systems approaches to infer regulatory networks in plants.
@en
Omics meet networks - using systems approaches to infer regulatory networks in plants.
@nl
prefLabel
Omics meet networks - using systems approaches to infer regulatory networks in plants.
@en
Omics meet networks - using systems approaches to infer regulatory networks in plants.
@nl
P2860
P1476
Omics meet networks - using systems approaches to infer regulatory networks in plants.
@en
P2093
Philip N Benfey
P2860
P304
P356
10.1016/J.PBI.2009.11.005
P577
2009-12-28T00:00:00Z