An automated phenotype-driven approach (GeneForce) for refining metabolic and regulatory models.
about
Software applications for flux balance analysisData-driven integration of genome-scale regulatory and metabolic network modelsUsing Genome-scale Models to Predict Biological CapabilitiesMetabolic constraint-based refinement of transcriptional regulatory networksThe landscape of microbial phenotypic traits and associated genesMultiscale computational models of complex biological systems.TIGER: Toolbox for integrating genome-scale metabolic models, expression data, and transcriptional regulatory networksA genome-scale metabolic flux model of Escherichia coli K-12 derived from the EcoCyc database.High-throughput workflow for monitoring and mining bioprocess data and its application to inferring the physiological response of Escherichia coli to perturbations.Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methodsGlobal insights into energetic and metabolic networks in Rhodobacter sphaeroidesTechnologies and approaches to elucidate and model the virulence program of salmonella.BioMog: a computational framework for the de novo generation or modification of essential biomass components.Reconstruction of metabolic pathways by combining probabilistic graphical model-based and knowledge-based methodsThe evolution of metabolic networks of E. coliPSAMM: A Portable System for the Analysis of Metabolic Models.Reverse engineering systems models of regulation: discovery, prediction and mechanisms.Basic and applied uses of genome-scale metabolic network reconstructions of Escherichia coli.Software platforms to facilitate reconstructing genome-scale metabolic networks.Systematic applications of metabolomics in metabolic engineering.FOCAL: an experimental design tool for systematizing metabolic discoveries and model developmentMapMaker and PathTracer for tracking carbon in genome-scale metabolic models.Capturing the response of Clostridium acetobutylicum to chemical stressors using a regulated genome-scale metabolic model.Genetics. Predicting microbial growth.
P2860
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P2860
An automated phenotype-driven approach (GeneForce) for refining metabolic and regulatory models.
description
2010 nî lūn-bûn
@nan
2010 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
An automated phenotype-driven ...... tabolic and regulatory models.
@ast
An automated phenotype-driven ...... tabolic and regulatory models.
@en
type
label
An automated phenotype-driven ...... tabolic and regulatory models.
@ast
An automated phenotype-driven ...... tabolic and regulatory models.
@en
prefLabel
An automated phenotype-driven ...... tabolic and regulatory models.
@ast
An automated phenotype-driven ...... tabolic and regulatory models.
@en
P2860
P50
P1476
An automated phenotype-driven ...... tabolic and regulatory models.
@en
P2860
P304
P356
10.1371/JOURNAL.PCBI.1000970
P577
2010-10-28T00:00:00Z