Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments.

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ESBL-plasmid carriage in E. coli enhances in vitro bacterial competition fitness and serum resistance in some strains of pandemic sequence types without overall fitness cost.

P2860

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P2860

Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments.

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2016 nî lūn-bûn

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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

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2016年论文

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name

Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments.

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Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments.

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label

Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments.

@ast

Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments.

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Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments.

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Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments.

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P1476

Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments

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P2093

Jukka Corander

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

Karsten Tedin

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Katharina Schaufler

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Minna Vehkala

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P2860

Global phenotypic characterization of bacteria

Genome and Phenotype Microarray Analyses of Rhodococcus sp. BCP1 and Rhodococcus opacus R7: Genetic Determinants and Metabolic Abilities with Environmental Relevance

ESBL-plasmids carrying toxin-antitoxin systems can be "cured" of wild-type Escherichia coli using a heat technique.

Novel R pipeline for analyzing Biolog Phenotypic MicroArray data.

opm: an R package for analysing OmniLog(R) phenotype microarray data.

High throughput phenotypic analysis of Mycobacterium tuberculosis and Mycobacterium bovis strains' metabolism using biolog phenotype microarrays.

New technologies to assess genotype-phenotype relationships.

Comparative genomic and phenomic analysis of Clostridium difficile and Clostridium sordellii, two related pathogens with differing host tissue preference.

A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters.

Complete genome sequence and phenotype microarray analysis of Cronobacter sakazakii SP291: a persistent isolate cultured from a powdered infant formula production facility.

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e0162276

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scholarly article

P356

10.1371/JOURNAL.PONE.0162276

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English

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P478

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P50

Mikhail Shubin

P577

2016-09-27T00:00:00Z

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27676629

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P932

5038949

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Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments.

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P2860

P2860

Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments.

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type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932