iMTBGO: An Algorithm for Integrating Metabolic Networks with Transcriptomes Based on Gene Ontology Analysis (Q89584727)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:32030085 AND SRC:MED&resulttype=core&format=json

6 April 2020

title

iMTBGO: An Algorithm for Integrating Metabolic Networks with Transcriptomes Based on Gene Ontology Analysis (English)

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:32030085 AND SRC:MED&resulttype=core&format=json

6 April 2020

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Zhitao Mao

1

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:32030085 AND SRC:MED&resulttype=core&format=json

6 April 2020

Hongwu Ma

series ordinal

2

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6 April 2020

publication date

1 May 2019

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:32030085 AND SRC:MED&resulttype=core&format=json

6 April 2020

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:32030085 AND SRC:MED&resulttype=core&format=json

6 April 2020

volume

20

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6 April 2020

issue

4

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6 April 2020

page(s)

252-259

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Stoichiometric flux balance models quantitatively predict growth and metabolic by-product secretion in wild-type Escherichia coli W3110.

6 April 2020

cites work

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12 December 2020

Gene ontology: tool for the unification of biology

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12 December 2020

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12 December 2020

In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data

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Saccharomyces cerevisiae phenotypes can be predicted by using constraint-based analysis of a genome-scale reconstructed metabolic network

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12 December 2020

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12 December 2020

Metabolic gene-deletion strains of Escherichia coli evolve to computationally predicted growth phenotypes

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12 December 2020

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12 December 2020

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The fluxes through glycolytic enzymes in Saccharomyces cerevisiae are predominantly regulated at posttranscriptional levels

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12 December 2020

Stoichiometric modelling of cell metabolism.

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12 December 2020

Context-specific metabolic networks are consistent with experiments

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12 December 2020

Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists

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12 December 2020

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources

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12 December 2020

Interpreting expression data with metabolic flux models: predicting Mycobacterium tuberculosis mycolic acid production

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12 December 2020

Metabolic and transcriptional response to cofactor perturbations in Escherichia coli.

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12 December 2020

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Improving metabolic flux predictions using absolute gene expression data

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RELATCH: relative optimality in metabolic networks explains robust metabolic and regulatory responses to perturbations.

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Integration of time-resolved transcriptomics data with flux-based methods reveals stress-induced metabolic adaptation in Escherichia coli

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Temporal expression-based analysis of metabolism

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12 December 2020

Genome-level transcription data of Yersinia pestis analyzed with a new metabolic constraint-based approach

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12 December 2020

Inferring metabolic states in uncharacterized environments using gene-expression measurements

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12 December 2020

Somewhat in control--the role of transcription in regulating microbial metabolic fluxes

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12 December 2020

Systematic evaluation of methods for integration of transcriptomic data into constraint-based models of metabolism

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12 December 2020

An integrative, multi-scale, genome-wide model reveals the phenotypic landscape of Escherichia coli

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12 December 2020

BRENDA in 2017: new perspectives and new tools in BRENDA.

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12 December 2020

TRFBA: an algorithm to integrate genome-scale metabolic and transcriptional regulatory networks with incorporation of expression data

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The Gene Ontology Resource: 20 years and still GOing strong

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12 December 2020

10.2174/1389202920666190626155130

Identifiers

DOI

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:32030085 AND SRC:MED&resulttype=core&format=json

6 April 2020

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:32030085 AND SRC:MED&resulttype=core&format=json

6 April 2020

PubMed publication ID

32030085

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