Efficient Reconstruction of Predictive Consensus Metabolic Network Models.

about

Constraint-based stoichiometric modelling from single organisms to microbial communities.Studying microbial functionality within the gut ecosystem by systems biology.DMPy: a Python package for automated mathematical model construction of large-scale metabolic systems.

P2860

Q39196318-8EFE5AAC-C7A6-441A-A332-9FF59F732F8C Q51146477-6A5732D4-4EE7-4AF8-A06D-5B1C83FCD35F Q55361965-4829D176-EC1E-4B33-9DB9-1DB48509AC6A

P2860

Efficient Reconstruction of Predictive Consensus Metabolic Network Models.

Item

http://www.wikidata.org/entity/Q36113991

description

2016 nî lūn-bûn

@nan

2016年の論文

@ja

2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

@wuu

2016年论文

@zh

2016年论文

@zh-cn

name

Efficient Reconstruction of Predictive Consensus Metabolic Network Models.

@ast

Efficient Reconstruction of Predictive Consensus Metabolic Network Models.

@en

type

Item

label

Efficient Reconstruction of Predictive Consensus Metabolic Network Models.

@ast

Efficient Reconstruction of Predictive Consensus Metabolic Network Models.

@en

prefLabel

Efficient Reconstruction of Predictive Consensus Metabolic Network Models.

@ast

Efficient Reconstruction of Predictive Consensus Metabolic Network Models.

@en

P1476

Efficient Reconstruction of Predictive Consensus Metabolic Network Models

@en

P2093

Joerg Stelling

http://www.w3.org/2001/XMLSchema#string

Mathias Ganter

http://www.w3.org/2001/XMLSchema#string

P2860

A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology

A protocol for generating a high-quality genome-scale metabolic reconstruction

Investigating the metabolic capabilities of Mycobacterium tuberculosis H37Rv using the in silico strain iNJ661 and proposing alternative drug targets

Systems-level modeling of mycobacterial metabolism for the identification of new (multi-)drug targets

MetaMerge: scaling up genome-scale metabolic reconstructions, with application to Mycobacterium tuberculosis

Genes required for mycobacterial growth defined by high density mutagenesis

The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models

Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0

High-throughput generation, optimization and analysis of genome-scale metabolic models

Genome-scale reconstruction of metabolic network in Bacillus subtilis based on high-throughput phenotyping and gene essentiality data

P304

e1005085

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1371/JOURNAL.PCBI.1005085

http://www.w3.org/2001/XMLSchema#string

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Vitor Martins dos Santos

Ruben G A van Heck

P577

2016-08-26T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

27563720

http://www.w3.org/2001/XMLSchema#string

P932

5001716

http://www.w3.org/2001/XMLSchema#string

Efficient Reconstruction of Predictive Consensus Metabolic Network Models.

about

P2860

P2860

Efficient Reconstruction of Predictive Consensus Metabolic Network Models.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P698

P932