Inference of events in Mycobacterium tuberculosis genome evolution from high-throughput sequencing data

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Kiel, Christian-Albrechts-Universität zu Kiel, Dissertation, 2020

Keyword: Metagenom
Genetik
Süßwasser
Genanalyse
Biodiversität
Genom
Phylogenie

Event: Veröffentlichung

(where): Kiel

(who): Universitätsbibliothek Kiel

(when): 2020

Creator: Godfroid, Maxime

Contributor: Dagan, Tal
Haubold, Bernhard

URN: urn:nbn:de:gbv:8-mods-2020-00327-7

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:35 AM CEST

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Associated

Godfroid, Maxime
Dagan, Tal
Haubold, Bernhard
Universitätsbibliothek Kiel

Time of origin

2020

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High-throughput screen of essential gene modules in Mycobacterium tuberculosis: a bibliometric approach

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High-throughput screening to discover inhibitors of the CarD·RNA polymerase protein–protein interaction in Mycobacterium tuberculosis

Pathogenic microorganism DNA high-throughput genetic sequencing to diagnose peritoneal dialysis-associated peritonitis due to Mycobacterium tuberculosis infection

Machine Learning‐Based High‐Throughput Screening, Molecular Modeling and Quantum Chemical Analysis to Investigate Mycobacterium tuberculosis MetRS Inhibitors

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Systematic analysis of time resolved high-throughput data using stochastic network inference methods

Optimizing High-Throughput Inference on Graph Neural Networks at Shared Computing Facilities with the NVIDIA Triton Inference Server

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Tab. 48 Mycobacterium tuberculosis

Mycobacterium tuberculosis virulence inhibitors discovered by Mycobacterium marinum high-throughput screening

Novel chemical entities inhibiting Mycobacterium tuberculosis growth identified by phenotypic high-throughput screening

High-throughput screen of essential gene modules in Mycobacterium tuberculosis: a bibliometric approach

A high-throughput screening assay based on automated microscopy for monitoring antibiotic susceptibility of Mycobacterium tuberculosis phenotypes

High-throughput screening to discover inhibitors of the CarD·RNA polymerase protein–protein interaction in Mycobacterium tuberculosis

Pathogenic microorganism DNA high-throughput genetic sequencing to diagnose peritoneal dialysis-associated peritonitis due to Mycobacterium tuberculosis infection

Machine Learning‐Based High‐Throughput Screening, Molecular Modeling and Quantum Chemical Analysis to Investigate Mycobacterium tuberculosis MetRS Inhibitors

High-throughput transcriptomics

Accurate inference of shoot biomass from high-throughput images of cereal plants

Hochschulschrift

Systematic analysis of time resolved high-throughput data using stochastic network inference methods

Optimizing High-Throughput Inference on Graph Neural Networks at Shared Computing Facilities with the NVIDIA Triton Inference Server

Illustration

Tab. 48 Mycobacterium tuberculosis

Mycobacterium tuberculosis virulence inhibitors discovered by Mycobacterium marinum high-throughput screening

Novel chemical entities inhibiting Mycobacterium tuberculosis growth identified by phenotypic high-throughput screening

High-throughput screen of essential gene modules in Mycobacterium tuberculosis: a bibliometric approach

A high-throughput screening assay based on automated microscopy for monitoring antibiotic susceptibility of Mycobacterium tuberculosis phenotypes

High-throughput screening to discover inhibitors of the CarD·RNA polymerase protein–protein interaction in Mycobacterium tuberculosis

Pathogenic microorganism DNA high-throughput genetic sequencing to diagnose peritoneal dialysis-associated peritonitis due to Mycobacterium tuberculosis infection

Machine Learning‐Based High‐Throughput Screening, Molecular Modeling and Quantum Chemical Analysis to Investigate Mycobacterium tuberculosis MetRS Inhibitors

High-throughput transcriptomics

Accurate inference of shoot biomass from high-throughput images of cereal plants

Hochschulschrift

Systematic analysis of time resolved high-throughput data using stochastic network inference methods

Optimizing High-Throughput Inference on Graph Neural Networks at Shared Computing Facilities with the NVIDIA Triton Inference Server

Illustration

Tab. 48 Mycobacterium tuberculosis

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Inference of events in Mycobacterium tuberculosis genome evolution from high-throughput sequencing data

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Other Objects (12)

Mycobacterium tuberculosis virulence inhibitors discovered by Mycobacterium marinum high-throughput screening

Novel chemical entities inhibiting Mycobacterium tuberculosis growth identified by phenotypic high-throughput screening

High-throughput screen of essential gene modules in Mycobacterium tuberculosis: a bibliometric approach

A high-throughput screening assay based on automated microscopy for monitoring antibiotic susceptibility of Mycobacterium tuberculosis phenotypes

High-throughput screening to discover inhibitors of the CarD·RNA polymerase protein–protein interaction in Mycobacterium tuberculosis

Pathogenic microorganism DNA high-throughput genetic sequencing to diagnose peritoneal dialysis-associated peritonitis due to Mycobacterium tuberculosis infection

Machine Learning‐Based High‐Throughput Screening, Molecular Modeling and Quantum Chemical Analysis to Investigate Mycobacterium tuberculosis MetRS Inhibitors

High-throughput transcriptomics

Accurate inference of shoot biomass from high-throughput images of cereal plants

Systematic analysis of time resolved high-throughput data using stochastic network inference methods

Optimizing High-Throughput Inference on Graph Neural Networks at Shared Computing Facilities with the NVIDIA Triton Inference Server

Tab. 48 Mycobacterium tuberculosis

Mycobacterium tuberculosis virulence inhibitors discovered by Mycobacterium marinum high-throughput screening

Novel chemical entities inhibiting Mycobacterium tuberculosis growth identified by phenotypic high-throughput screening

High-throughput screen of essential gene modules in Mycobacterium tuberculosis: a bibliometric approach

A high-throughput screening assay based on automated microscopy for monitoring antibiotic susceptibility of Mycobacterium tuberculosis phenotypes

High-throughput screening to discover inhibitors of the CarD·RNA polymerase protein–protein interaction in Mycobacterium tuberculosis

Pathogenic microorganism DNA high-throughput genetic sequencing to diagnose peritoneal dialysis-associated peritonitis due to Mycobacterium tuberculosis infection

Machine Learning‐Based High‐Throughput Screening, Molecular Modeling and Quantum Chemical Analysis to Investigate Mycobacterium tuberculosis MetRS Inhibitors

High-throughput transcriptomics

Accurate inference of shoot biomass from high-throughput images of cereal plants

Systematic analysis of time resolved high-throughput data using stochastic network inference methods

Optimizing High-Throughput Inference on Graph Neural Networks at Shared Computing Facilities with the NVIDIA Triton Inference Server

Tab. 48 Mycobacterium tuberculosis

Mycobacterium tuberculosis virulence inhibitors discovered by Mycobacterium marinum high-throughput screening

Novel chemical entities inhibiting Mycobacterium tuberculosis growth identified by phenotypic high-throughput screening

High-throughput screen of essential gene modules in Mycobacterium tuberculosis: a bibliometric approach

A high-throughput screening assay based on automated microscopy for monitoring antibiotic susceptibility of Mycobacterium tuberculosis phenotypes

High-throughput screening to discover inhibitors of the CarD·RNA polymerase protein–protein interaction in Mycobacterium tuberculosis

Pathogenic microorganism DNA high-throughput genetic sequencing to diagnose peritoneal dialysis-associated peritonitis due to Mycobacterium tuberculosis infection

Machine Learning‐Based High‐Throughput Screening, Molecular Modeling and Quantum Chemical Analysis to Investigate Mycobacterium tuberculosis MetRS Inhibitors

High-throughput transcriptomics

Accurate inference of shoot biomass from high-throughput images of cereal plants

Systematic analysis of time resolved high-throughput data using stochastic network inference methods

Optimizing High-Throughput Inference on Graph Neural Networks at Shared Computing Facilities with the NVIDIA Triton Inference Server

Tab. 48 Mycobacterium tuberculosis

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