Integrating high-throughput and computational data elucidates bacterial networks.
about
The roots of bioinformatics in theoretical biologyLarge-scale mapping and validation of Escherichia coli transcriptional regulation from a compendium of expression profilesEnvironments that induce synthetic microbial ecosystemsA protocol for generating a high-quality genome-scale metabolic reconstructionA whole-cell computational model predicts phenotype from genotypeGlobal phenotypic characterization of bacteriaGenome-scale reconstruction of the metabolic network in Staphylococcus aureus N315: an initial draft to the two-dimensional annotation.Using large-scale perturbations in gene network reconstructionSparse graphical Gaussian modeling of the isoprenoid gene network in Arabidopsis thalianaLarge-scale 13C-flux analysis reveals mechanistic principles of metabolic network robustness to null mutations in yeastModeling Lactococcus lactis using a genome-scale flux model.OpWise: operons aid the identification of differentially expressed genes in bacterial microarray experimentsEvolutionary programming as a platform for in silico metabolic engineeringAchieving Metabolic Flux Analysis for S. cerevisiae at a Genome-Scale: Challenges, Requirements, and ConsiderationsAssessing systems properties of yeast mitochondria through an interaction map of the organelleComputing the functional proteome: recent progress and future prospects for genome-scale modelsAnalysis of genetic variation and potential applications in genome-scale metabolic modelingQuantitative and logic modelling of molecular and gene networksIn Silico Constraint-Based Strain Optimization Methods: the Quest for Optimal Cell FactoriesData-driven integration of genome-scale regulatory and metabolic network modelsUsing Genome-scale Models to Predict Biological CapabilitiesChemogenomic profiling on a genome-wide scale using reverse-engineered gene networksQuantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0Genome-scale reconstruction of metabolic network in Bacillus subtilis based on high-throughput phenotyping and gene essentiality dataNetwork-based identification of biomarkers coexpressed with multiple pathwaysMatrix formalism to describe functional states of transcriptional regulatory systems.Iterative reconstruction of transcriptional regulatory networks: an algorithmic approachContext-specific metabolic networks are consistent with experimentsGenome-scale reconstruction and analysis of the Pseudomonas putida KT2440 metabolic network facilitates applications in biotechnologyThe carbon assimilation network in Escherichia coli is densely connected and largely sign-determined by directions of metabolic fluxesConstraint-based model of Shewanella oneidensis MR-1 metabolism: a tool for data analysis and hypothesis generationGenome-scale reconstruction of Escherichia coli's transcriptional and translational machinery: a knowledge base, its mathematical formulation, and its functional characterizationFunctional states of the genome-scale Escherichia coli transcriptional regulatory systemGenetic co-occurrence network across sequenced microbesShrinking the metabolic solution space using experimental datasetsIdentification of functional differences in metabolic networks using comparative genomics and constraint-based modelsIntegrating cellular metabolism into a multiscale whole-body modelPrediction of missing enzyme genes in a bacterial metabolic network. Reconstruction of the lysine-degradation pathway of Pseudomonas aeruginosaMetabolic constraint-based refinement of transcriptional regulatory networksFlux Balance Analysis with Objective Function Defined by Proteomics Data-Metabolism of Mycobacterium tuberculosis Exposed to Mefloquine
P2860
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P2860
Integrating high-throughput and computational data elucidates bacterial networks.
description
2004 nî lūn-bûn
@nan
2004 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Integrating high-throughput and computational data elucidates bacterial networks.
@ast
Integrating high-throughput and computational data elucidates bacterial networks.
@en
type
label
Integrating high-throughput and computational data elucidates bacterial networks.
@ast
Integrating high-throughput and computational data elucidates bacterial networks.
@en
prefLabel
Integrating high-throughput and computational data elucidates bacterial networks.
@ast
Integrating high-throughput and computational data elucidates bacterial networks.
@en
P2093
P356
P1433
P1476
Integrating high-throughput and computational data elucidates bacterial networks.
@en
P2093
Eric M Knight
Markus J Herrgard
Markus W Covert
P2888
P356
10.1038/NATURE02456
P407
P577
2004-05-01T00:00:00Z
P6179
1048092533