Fragmentation trees for the structural characterisation of metabolites. - sprookjes - yvandenbroek - TriplyDB

Fragmentation trees for the structural characterisation of metabolites.

Fragmentation trees for the structural characterisation of metabolites.

http://www.wikidata.org/entity/Q43246669

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Applications of Fourier Transform Ion Cyclotron Resonance (FT-ICR) and Orbitrap Based High Resolution Mass Spectrometry in Metabolomics and Lipidomics Computational mass spectrometry for small molecules Enhanced acylcarnitine annotation in high-resolution mass spectrometry data: fragmentation analysis for the classification and annotation of acylcarnitines.UV-activated multilayer nanomatrix provides one-step tunable carbohydrate structural characterization in MALDI-MS.Mass spectrometry of natural products: current, emerging and future technologies A branched biosynthetic pathway is involved in production of roquefortine and related compounds in Penicillium chrysogenum.Using fragmentation trees and mass spectral trees for identifying unknown compounds in metabolomics.Proposed Confidence Scale and ID Score in the Identification of Known-Unknown Compounds Using High Resolution MS Data.Molecular networking as a dereplication strategy.Microfluidic chip-based liquid chromatography coupled to mass spectrometry for determination of small molecules in bioanalytical applications: an update.High resolution mass spectrometry based techniques at the crossroads of metabolic pathways.A rough guide to metabolite identification using high resolution liquid chromatography mass spectrometry in metabolomic profiling in metazoans After the feature presentation: technologies bridging untargeted metabolomics and biology.Application of GC/MS Soft Ionization for Isomeric Biological Compound Analysis.Electronic structure and gas-phase chemistry of protonated α- and β-quinonoid compounds: a mass spectrometry and computational study.CFM-ID: a web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra.Differentiating isobaric steroid hormone metabolites using multi-stage tandem mass spectrometry.Distinct Fragmentation Pathways of Anticancer Drugs Induced by Charge-Carrying Cations in the Gas Phase.

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P2860

Fragmentation trees for the structural characterisation of metabolites.

http://www.wikidata.org/entity/Q43246669

description

2012 nî lūn-bûn

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2012年の論文

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2012年学术文章

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2012年学术文章

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2012年学术文章

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2012年学术文章

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2012年学术文章

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2012年学术文章

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2012年學術文章

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2012年學術文章

@zh-hant

name

Fragmentation trees for the structural characterisation of metabolites.

@en

Fragmentation trees for the structural characterisation of metabolites.

@nl

type

label

Fragmentation trees for the structural characterisation of metabolites.

@en

Fragmentation trees for the structural characterisation of metabolites.

@nl

prefLabel

Fragmentation trees for the structural characterisation of metabolites.

@en

Fragmentation trees for the structural characterisation of metabolites.

@nl

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Rapid Communications in Mass Spectrometry

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Fragmentation trees for the structural characterisation of metabolites.

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P2093

Miguel Rojas-Chertó

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Piotr T Kasper

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Robert Mistrik

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Theo Reijmers

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P2860

In silico fragmentation for computer assisted identification of metabolite mass spectra

The Chemistry Development Kit (CDK): an open-source Java library for Chemo- and Bioinformatics

Elemental composition determination based on MSn

Seven Golden Rules for heuristic filtering of molecular formulas obtained by accurate mass spectrometry

Metabolite Identification Using Automated Comparison of High-Resolution Multistage Mass Spectral Trees

Optimization and testing of mass spectral library search algorithms for compound identification

A common open representation of mass spectrometry data and its application to proteomics research

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Mass-spectrometry-based metabolomics: limitations and recommendations for future progress with particular focus on nutrition research

XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification

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2275-2286

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scholarly article

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10.1002/RCM.6340

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19

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26

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Thomas Hankemeier

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2012-10-01T00:00:00Z

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230811521

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22956319

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3573646

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