T. Ebbels

发表

PhenoMeNal: processing and analysis of metabolomics data in the cloud

Alejandra N. González-Beltrán, Marco Enrico Piras, Jake T. M. Pearce, 2018, bioRxiv.

Alejandra N. González-Beltrán, Ralf J. M. Weber, Rachel A. Spicer, 2017, F1000Research.

Human metabolic phenotype diversity and its association with diet and blood pressure

Ian J. Brown, P. Elliott, Liancheng Zhao, 2008, Nature.

Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts

T. Ebbels, J. Lindon, J. Nicholson, 2007, Nature Protocols.

Subset optimization by reference matching (STORM): an optimized statistical approach for recovery of metabolic biomarker structural information from 1H NMR spectra of biofluids.

Maria De Iorio, Elaine Holmes, Paul Elliott, 2012, Analytical chemistry.

Toxicity classification from metabonomic data using a density superposition approach: ‘CLOUDS’

Timothy M. D. Ebbels, Hector C. Keun, John C. Lindon, 2003 .

Geometric trajectory analysis of metabolic responses to toxicity can define treatment specific profiles.

T. Ebbels, J. Lindon, J. Nicholson, 2004, Chemical research in toxicology.

A Differential Network Approach to Exploring Differences between Biological States: An Application to Prediabetes

Taru Tukiainen, Pasi Soininen, Mika Ala-Korpela, 2011, PloS one.

Optimized preprocessing of ultra-performance liquid chromatography/mass spectrometry urinary metabolic profiles for improved information recovery.

T. Ebbels, K. Veselkov, E. Want, 2011, Analytical chemistry.

Power Analysis and Sample Size Determination in Metabolic Phenotyping.

Elaine Holmes, Jeremy K Nicholson, Adrienne Tin, 2016, Analytical chemistry.

Improving Visualization and Interpretation of Metabolome-Wide Association Studies: An Application in a Population-Based Cohort Using Untargeted 1H NMR Metabolic Profiling

P. Elliott, P. Greenland, T. Ebbels, 2017, Journal of proteome research.

Applying 'omics technologies in chemicals risk assessment: Report of an ECETOC workshop.

Ralf J. M. Weber, Kamin J. Johnson, A. Piersma, 2017, Regulatory toxicology and pharmacology : RTP.

Evaluation of metabolic variation in normal rat strains from a statistical analysis of 1H NMR spectra of urine.

T. Ebbels, J. Lindon, J. Nicholson, 2004, Journal of pharmaceutical and biomedical analysis.

Recursive segment-wise peak alignment of biological (1)h NMR spectra for improved metabolic biomarker recovery.

T. Ebbels, K. Veselkov, J. Lindon, 2009, Analytical chemistry.

Optimizing the use of quality control samples for signal drift correction in large-scale urine metabolic profiling studies.

T. Ebbels, E. Want, P. Masson, 2012, Analytical chemistry.

Analytical reproducibility in (1)H NMR-based metabonomic urinalysis.

T. Ebbels, H. Senn, J. Lindon, 2002, Chemical research in toxicology.

Improved analysis of multivariate data by variable stability scaling: application to NMR-based metabolic profiling

T. Ebbels, J. Lindon, J. Nicholson, 2003 .

Bidirectional correlation of NMR and capillary electrophoresis fingerprints: a new approach to investigating Schistosoma mansoni infection in a mouse model.

J. Utzinger, T. Ebbels, J. Nicholson, 2010, Analytical chemistry.

NMR-based metabonomic toxicity classification: hierarchical cluster analysis and k-nearest-neighbour approaches

T. Ebbels, J. Lindon, J. Nicholson, 2003 .

Comparison of Bi- and Tri-Linear PLS Models for Variable Selection in Metabolomic Time-Series Experiments

T. Ebbels, L. Dragsted, Q. Gao, 2019, Metabolites.

COordination of Standards in MetabOlomicS (COSMOS): facilitating integrated metabolomics data access

Matej Oresic, Christoph Steinbeck, Dirk Walther, 2015, Metabolomics.

Metabolic profiling and the metabolome-wide association study: significance level for biomarker identification.

Marc Chadeau-Hyam, Jeremiah Stamler, Maria De Iorio, 2010, Journal of proteome research.

Intra- and interlaboratory reproducibility of ultra performance liquid chromatography-time-of-flight mass spectrometry for urinary metabolic profiling.

Alexander Amberg, Robert S Plumb, Elaine Holmes, 2012, Analytical chemistry.

The future of metabolomics in ELIXIR [version 2; peer review: 3 approved]

Alejandra N. González-Beltrán, Ralf J. M. Weber, Rachel A. Spicer, 2021 .

High-resolution magic-angle-spinning NMR spectroscopy for metabolic profiling of intact tissues

Elaine Holmes, John C Lindon, Jeremy K Nicholson, 2010, Nature Protocols.

Opening up the "Black Box": metabolic phenotyping and metabolome-wide association studies in epidemiology.

Jeremiah Stamler, Elaine Holmes, Jeremy K Nicholson, 2010, Journal of clinical epidemiology.

Metabonomic investigations into the global biochemical sequelae of exposure to the pancreatic toxin 1‐cyano‐2‐hydroxy‐3‐butene in the rat

T. Ebbels, J. Lindon, J. Nicholson, 2009, Magnetic resonance in chemistry : MRC.

Metabolome-wide association study identifies multiple biomarkers that discriminate north and south Chinese populations at differing risks of cardiovascular disease: INTERMAP study.

Marc Chadeau-Hyam, Jeremiah Stamler, Maria De Iorio, 2010, Journal of proteome research.

Multiplicative Prior and Sequential Monte Carlo Methods for Multiple Gaussian Graphical Models

Linda S. L. Tan, A. Jasra, T. Ebbels, 2016 .

Optimized Phenotypic Biomarker Discovery and Confounder Elimination via Covariate-Adjusted Projection to Latent Structures from Metabolic Spectroscopy Data

P. Elliott, T. Ebbels, J. Stamler, 2018, Journal of proteome research.

Statistical Correlations between NMR Spectroscopy and Direct Infusion FT-ICR Mass Spectrometry Aid Annotation of Unknowns in Metabolomics.

T. Ebbels, M. Viant, Manuel Liebeke, 2016, Analytical chemistry.

Comparative metabonomics of differential hydrazine toxicity in the rat and mouse.

Henrik Antti, Elaine Holmes, John C Lindon, 2005, Toxicology and applied pharmacology.

Optimization and evaluation of metabolite extraction protocols for untargeted metabolic profiling of liver samples by UPLC-MS.

T. Ebbels, E. Want, A. C. Alves, 2010, Analytical chemistry.

Prospects for a Statistical Theory of LC/TOFMS Data

T. Ebbels, Andreas Ipsen, 2012, Journal of The American Society for Mass Spectrometry.

A comparison of human serum and plasma metabolites using untargeted 1H NMR spectroscopy and UPLC-MS

P. Elliott, T. Ebbels, I. Karaman, 2018, Metabolomics.

Robust algorithms for automated chemical shift calibration of 1D 1H NMR spectra of blood serum.

John C Lindon, Jeremy K Nicholson, Timothy M D Ebbels, 2008, Analytical chemistry.

Metabolic phenotyping for discovery of urinary biomarkers of diet, xenobiotics and blood pressure in the INTERMAP Study: an overview

P. Elliott, T. Ebbels, J. Stamler, 2017, Hypertension Research.

Metabolic profiling and population screening of analgesic usage in nuclear magnetic resonance spectroscopy-based large-scale epidemiologic studies.

P. Elliott, T. Ebbels, J. Stamler, 2009, Analytical chemistry.

Untargeted metabolome quantitative trait locus mapping associates variation in urine glycerate to mutant glycerate kinase.

M. Bihoreau, D. Gauguier, T. Ebbels, 2012, Journal of proteome research.

NMR-based metabolic profiling identifies biomarkers of liver regeneration following partial hepatectomy in the rat.

T. Ebbels, J. Lindon, J. Nicholson, 2010, Journal of proteome research.

Framework for the quality assurance of ’omics technologies considering GLP requirements

Jörg Hackermüller, Carole Yauk, Hennicke Kamp, 2017, Regulatory toxicology and pharmacology : RTP.

OP-EHEA190237_online 2883..2898

P. Elliott, C. Gieger, O. Franco, 2019 .

Serum metabolic signatures of coronary and carotid atherosclerosis and subsequent cardiovascular disease

P. Elliott, C. Gieger, O. Franco, 2019, European heart journal.

Metabolic phenotyping in epidemiology and metabolome-wide association studies

P. Elliott, T. Ebbels, M. Iorio, 2014 .

The carcinoGENOMICS project: critical selection of model compounds for the development of omics-based in vitro carcinogenicity screening assays.

Raffaella Corvi, Susanna-Assunta Sansone, Philippe Rocca-Serra, 2008, Mutation research.

Dietary and Urinary Metabonomic Factors Possibly Accounting for Higher Blood Pressure of Black Compared With White Americans: Results of International Collaborative Study on Macro-/Micronutrients and Blood Pressure

P. Elliott, M. De Iorio, T. Ebbels, 2013, Hypertension.

Blood pressure interactions with the DASH dietary pattern, sodium, and potassium: The International Study of Macro-/Micronutrients and Blood Pressure (INTERMAP)

P. Elliott, A. Dyer, L. Appel, 2022, The American journal of clinical nutrition.

Characterization of data analysis methods for information recovery from metabolic 1H NMR spectra using artificial complex mixtures

T. Ebbels, A. C. Alves, E. Holmes, 2012, Metabolomics.

The association of fish consumption and its urinary metabolites with cardiovascular risk factors: the International Study of Macro-/Micronutrients and Blood Pressure (INTERMAP)

P. Elliott, A. Dyer, Liancheng Zhao, 2019, The American journal of clinical nutrition.

Urinary hippurate and proline betaine relative to fruit intake, blood pressure, and body mass index

P. Elliott, T. Ebbels, J. Stamler, 2016, Proceedings of the Nutrition Society.

Multiple-testing correction in metabolome-wide association studies

R. Glen, T. Ebbels, Alina Peluso, 2020, BMC Bioinform..

Piecewise multivariate modelling of sequential metabolic profiling data

Timothy M. D. Ebbels, Johan Trygg, Mattias Rantalainen, 2008, BMC Bioinformatics.

Batch statistical processing of 1H NMR‐derived urinary spectral data

Timothy M. D. Ebbels, Hector C. Keun, John C. Lindon, 2002 .

1H NMR-Based Profiling Reveals Differential Immune-Metabolic Networks during Influenza Virus Infection in Obese Mice

T. Ebbels, J. Saric, M. Beck, 2014, PloS one.

Spectroscopic confirmation of redshifts predicted by gravitational lensing

J. Kneib, R. Pelló, I. Smail, 1997, astro-ph/9703169.

Improving visualisation and interpretation of metabolome-wide association studies (MWAS): an application in a population based cohort using untargeted 1H

P. Greenland, T. Ebbels, I. Karaman, 2017 .

Metabolic Profiling and Population Screening of Analgesic Usage in NMR-Spectroscopy-based Large-scale Epidemiologic Studies

P. Elliott, T. Ebbels, J. Stamler, 2009 .

Contemporary issues in toxicology the role of metabonomics in toxicology and its evaluation by the COMET project.

Henrik Antti, Elaine Holmes, John C Lindon, 2003, Toxicology and applied pharmacology.

Identification of prediagnostic metabolites associated with prostate cancer risk by untargeted mass spectrometry‐based metabolomics: A case‐control study nested in the Northern Sweden Health and Disease Study

T. Ebbels, G. Hallmans, A. Moazzami, 2022, International journal of cancer.

Spectroscopic confirmation of redshifts predicted by gravitational lensing

J. Kneib, R. Pelló, I. Smail, 1997, astro-ph/9703169.

Bayesian estimation of the number of protonation sites for urinary metabolites from NMR spectroscopic data

M. De Iorio, T. Ebbels, Lifeng Ye, 2018, Metabolomics.

Problems, principles and progress in computational annotation of NMR metabolomics data

Michael T. Judge, T. Ebbels, 2022, Metabolomics.

BATMAN-an R package for the automated quantification of metabolites from NMR spectra using a Bayesian Model

William J. Astle, T. Ebbels, M. Iorio, 2011, 1112.5794.

COordination of Standards in MetabOlomicS (COSMOS): facilitating integrated metabolomics data access

R. Goodacre, M. Nikolski, Susanna-Assunta Sansone, 2015, Metabolomics.

Bayesian inference for multiple Gaussian graphical models with application to metabolic association networks

Maria De Iorio, Timothy M. D. Ebbels, Ajay Jasra, 2016, 1603.06358.

A Bayesian Model of NMR Spectra for the Deconvolution and Quantification of Metabolites in Complex Biological Mixtures

William J. Astle, Sylvia Richardson, David Stephens, 2011, 1105.2204.

Identifying biochemical phenotypic differences between cryptic species

T. Ebbels, Manuel Liebeke, M. Bruford, 2014, Biology Letters.

Intra- and inter-omic fusion of metabolic profiling data in a systems biology framework

Timothy M. D. Ebbels, Marc-Emmanuel Dumas, Jeremy K. Nicholson, 2010 .

Statistical experimental design and partial least squares regression analysis of biofluid metabonomic nmr and clinical chemistry data for screening of adverse drug effects

Timothy M. D. Ebbels, Hector C. Keun, John C. Lindon, 2004 .

Modelling the acid/base 1H NMR chemical shift limits of metabolites in human urine

Timothy M. D. Ebbels, Maria De Iorio, Jacob G. Bundy, 2016, Metabolomics.

Modelling the acid/base 1H NMR chemical shift limits of metabolites in human urine

M. De Iorio, T. Ebbels, G. Tredwell, 2016, Metabolomics.

Analytic properties of statistical total correlation spectroscopy based information recovery in 1H NMR metabolic data sets.

Mattias Rantalainen, Elaine Holmes, Jeremy K Nicholson, 2009, Analytical chemistry.

Genetic algorithms for simultaneous variable and sample selection in metabonomics

Timothy M. D. Ebbels, Hector C. Keun, John C. Lindon, 2009, Bioinform..

COordination of Standards in MetabOlomicS (COSMOS): facilitating integrated metabolomics data access

Matej Oresic, Christoph Steinbeck, Dirk Walther, 2015, Metabolomics.

Integrated pathway-level analysis of transcriptomics and metabolomics data with IMPaLA

Timothy M. D. Ebbels, Hector C. Keun, Ralf Herwig, 2011 .

Data standards can boost metabolomics research, and if there is a will, there is a way

Matej Oresic, Christoph Steinbeck, Daniel Schober, 2015, Metabolomics.

Pathway analysis in metabolomics: Recommendations for the use of over-representation analysis

Fabien Jourdan, Nathalie Poupin, Florence Vinson, 2021, PLoS Comput. Biol..

Pathway analysis in metabolomics: pitfalls and best practice for the use of over-representation analysis

Rachel P. J. Lai, T. Ebbels, F. Jourdan, 2021, bioRxiv.

Embedding standards in metabolomics: the Metabolomics Society data standards task group

Masanori Arita, T. Ebbels, S. Neumann, 2015, Metabolomics.

Proposed minimum reporting standards for data analysis in metabolomics

Douglas B. Kell, Age K. Smilde, Giovanni Paternostro, 2007, Metabolomics.

Temporal metabonomic modeling of l-arginine-induced exocrine pancreatitis.

T. Ebbels, J. Lindon, J. Nicholson, 2008, Journal of proteome research.

Genome metabolome integrated network analysis to uncover connections between genetic variants and complex traits: an application to obesity

Timothy M. D. Ebbels, Pasi Soininen, Mika Ala-Korpela, 2014, Journal of The Royal Society Interface.

Use cases, best practice and reporting standards for metabolomics in regulatory toxicology

Pim E G Leonards, Philippe Rocca-Serra, Richard D Beger, 2019, Nature Communications.

Meeting-in-the-middle using metabolic profiling – a strategy for the identification of intermediate biomarkers in cohort studies

Paolo Vineis, Marc Chadeau-Hyam, Maria De Iorio, 2011, Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals.

Bayesian Deconvolution and Quantification of Metabolites from J-Resolved NMR Spectroscopy

T. Ebbels, M. Iorio, Andreas Heinecke, 2020 .

Integrated Histopathological and Urinary Metabonomic Investigation of the Pathogenesis of Microcystin-LR Toxicosis

T. Ebbels, J. Lindon, J. Nicholson, 2013, Veterinary pathology.

Bioinformatic methods in NMR-based metabolic profiling

Timothy M. D. Ebbels, Timothy M. D. Ebbels, Rachel Cavill, 2009 .

Chapter 7 – Non-linear Methods for the Analysis of Metabolic Profiles

Timothy M. D. Ebbels, T. Ebbels, 2007 .

The Consortium for Metabonomic Toxicology (COMET): aims, activities and achievements.

Elaine Holmes, John C Lindon, Jeremy K Nicholson, 2005, Pharmacogenomics.

A comparison of human serum and plasma metabolites using untargeted 1H NMR spectroscopy and UPLC-MS

T. Ebbels, I. Karaman, J. Lindon, 2018, Metabolomics.

diXa: a data infrastructure for chemical safety assessment

Chris T. A. Evelo, John P. Overington, Timothy M. D. Ebbels, 2014, Bioinform..

Spectral editing and pattern recognition methods applied to high-resolution magic-angle spinning 1H nuclear magnetic resonance spectroscopy of liver tissues.

Henrik Antti, Elaine Holmes, John C Lindon, 2003, Analytical biochemistry.

Single sample pathway analysis in metabolomics: performance evaluation and application

Rachel P. J. Lai, T. Ebbels, Cecilia Wieder, 2022, bioRxiv.

Prediction and classification of drug toxicity using probabilistic modeling of temporal metabolic data: the consortium on metabonomic toxicology screening approach.

Elaine Holmes, John C Lindon, Jeremy K Nicholson, 2007, Journal of proteome research.

Extraction and Integration of Genetic Networks from Short-Profile Omic Data Sets

R. Glen, T. Ebbels, Alina Peluso, 2019, Metabolites.

nmrML: A Community Supported Open Data Standard for the Description, Storage, and Exchange of NMR Data.

Christoph Steinbeck, Daniel Schober, Jie Hao, 2018, Analytical chemistry.

Workflow for Integrated Processing of Multicohort Untargeted 1H NMR Metabolomics Data in Large-Scale Metabolic Epidemiology.

Marie Loh, Evangelos Evangelou, Alireza Moayyeri, 2016, Journal of proteome research.

BATMAN - an R package for the automated quantification of metabolites from nuclear magnetic resonance spectra using a Bayesian model

Maria De Iorio, Jie Hao, Timothy M. D. Ebbels, 2012, Bioinform..

Design and analysis of metabolomics studies in epidemiologic research: a primer on -omic technologies.

John P A Ioannidis, Ioanna Tzoulaki, Timothy M D Ebbels, 2014, American journal of epidemiology.

The evolution of partial least squares models and related chemometric approaches in metabonomics and metabolic phenotyping

Timothy M. D. Ebbels, Marc-Emmanuel Dumas, Jeremy K. Nicholson, 2010 .

A statistical framework for biomarker discovery in metabolomic time course data

Giovanni Montana, Maurice Berk, Timothy M. D. Ebbels, 2011, Bioinform..

Data standards can boost metabolomics research

Christoph Steinbeck, Daniel Schober, Timothy M. D. Ebbels, 2015 .

Statistical Techniques in Metabolic Profiling

Timothy M. D. Ebbels, David A. Stephens, M. De Iorio, 2008 .

Alignment of LC-MS Profiles by Neighbor-wise Compound-specific Graphical Time Warping with Misalignment Detection

Yue Wang, David M. Herrington, Timothy M. D. Ebbels, 2019, bioRxiv.

Metabolomics: The Stethoscope for the Twenty-First Century

R. Glen, C. O’Donovan, M. Cascante, 2020, Medical Principles and Practice.

Bayesian deconvolution and quantification of metabolites in complex 1D NMR spectra using BATMAN

Maria De Iorio, Timothy M D Ebbels, Jacob G Bundy, 2014, Nature Protocols.

Computational tools and workflows in metabolomics: An international survey highlights the opportunity for harmonisation through Galaxy

Christoph Steinbeck, Reza M Salek, Pablo Moreno, 2016, Metabolomics.

Recent advances in mass spectrometry-based computational metabolomics.

T. Ebbels, Nicola Zamboni, S. Hassoun, 2023, Current opinion in chemical biology.

Finding Correspondence between Metabolomic Features in Untargeted Liquid Chromatography–Mass Spectrometry Metabolomics Datasets

A. Dehghan, T. Ebbels, I. Karaman, 2022, Analytical chemistry.

Automated Annotation of Untargeted All-Ion Fragmentation LC–MS Metabolomics Data with MetaboAnnotatoR

T. Ebbels, E. Want, G. Graça, 2022, Analytical chemistry.

Statistical analysis in metabolic phenotyping

T. Ebbels, J. Trygg, J. Nicholson, 2021, Nature Protocols.

Correction of mass calibration gaps in liquid chromatography-mass spectrometry metabolomics data

Timothy M. D. Ebbels, H. Paul Benton, Elizabeth J. Want, 2010, Bioinform..

Use cases, best practice and reporting standards for metabolomics in regulatory toxicology

Ralf J. M. Weber, David J T Epps, T. Ebbels, 2019, Nature Communications.

MetAssimulo:Simulation of Realistic NMR Metabolic Profiles

Maria De Iorio, Timothy M. D. Ebbels, Harriet J. Muncey, 2010, BMC Bioinformatics.

Reliability of plasma polar metabolite concentrations in a large-scale cohort study using capillary electrophoresis-mass spectrometry

P. Elliott, M. Tomita, T. Ebbels, 2018, PloS one.

Progress Towards an OECD Reporting Framework for Transcriptomics and Metabolomics in Regulatory Toxicology.

Ralf J. M. Weber, Thomas N. Lawson, C. O’Donovan, 2021, Regulatory toxicology and pharmacology : RTP.

Quantitative Investigation of Probabilistic Spectral Processing Methods Using Simulated NMR Data

Timothy M. D. Ebbels, John C. Lindon, Jeremy K. Nicholson, 2001 .

The future of metabolomics in ELIXIR.

Alejandra N. González-Beltrán, Ralf J. M. Weber, Rachel A. Spicer, 2017, F1000Research.

Processing and modeling of nuclear magnetic resonance (NMR) metabolic profiles.

John C Lindon, Timothy M D Ebbels, Muireann Coen, 2011, Methods in molecular biology.

Statistical total correlation spectroscopy editing of 1H NMR spectra of biofluids: application to drug metabolite profile identification and enhanced information recovery.

Elaine Holmes, John C Lindon, Jeremy K Nicholson, 2009, Analytical chemistry.

Data-driven approach for metabolite relationship recovery in biological 1H NMR data sets using iterative statistical total correlation spectroscopy.

T. Ebbels, J. Lindon, J. Nicholson, 2011, Analytical chemistry.

The future of metabolomics in ELIXIR

Alejandra N. González-Beltrán, Ralf J. M. Weber, Rachel A. Spicer, 2017, F1000Research.

Processing and Analysis of Untargeted Multicohort NMR Data.

Timothy M D Ebbels, Ibrahim Karaman, Gonçalo Graça, 2019, Methods in molecular biology.

Big Data and Databases for Metabolic Phenotyping

Timothy M. D. Ebbels, Robert C. Glen, Jianliang Gao, 2019, The Handbook of Metabolic Phenotyping.

Combining spectral ordering with peak fitting for one-dimensional NMR quantitative metabolomics.

Jie Hao, Timothy M D Ebbels, Jacob G Bundy, 2013, Analytical chemistry.

Validation of metabolomics for toxic mechanism of action screening with the earthworm Lumbricus rubellus

Timothy M. D. Ebbels, Jacob G. Bundy, Jasmin K. Sidhu, 2009, Metabolomics.

A Statistically Rigorous Test for the Identification of Parent−Fragment Pairs in LC-MS Datasets

Timothy M. D. Ebbels, John C. Lindon, Elizabeth J. Want, 2010, Analytical chemistry.

Integrative analysis of time course metabolic data and biomarker discovery

Takoua Jendoubi, Timothy M.D. Ebbels, T. Ebbels, 2018, BMC Bioinformatics.

springScape: visualisation of microarray and contextual bioinformatic data using spring embedding and an "information landscape"

Timothy M. D. Ebbels, Bernard F. Buxton, David T. Jones, 2006, ISMB.

Statistical Data Analysis in Metabolomics

Timothy M. D. Ebbels, Maria De Iorio, T. Ebbels, 2011 .

The future of metabolomics in ELIXIR [version 1; peer review: 2 approved, 1 approved with reservations]

Alejandra N. González-Beltrán, Ralf J. M. Weber, Rachel A. Spicer, 2021 .

Abstract MP09: Untargeted 1 H Nmr Metabolomics Metabolomic Analysis Reveals Pathways Of Protection Between Mediterranean-style Diet And Incident Cardiovascular Disease In The Multi-ethnic Study Of Atherosclerosis.

P. Elliott, P. Greenland, T. Ebbels, 2021 .

Statistical Methods in Metabolomics

Timothy M. D. Ebbels, Maria De Iorio, David A. Stephens, 2019, Handbook of Statistical Genomics.

Characterization of data analysis methods for information recovery from metabolic 1H NMR spectra using artificial complex mixtures

T. Ebbels, A. C. Alves, E. Holmes, 2012, Metabolomics.

Modelling short time series in metabolomics: a functional data analysis approach.

Maurice Berk, Giovanni Montana, Tim Ebbels, 2011, Advances in experimental medicine and biology.

Computational tools and workflows in metabolomics: An international survey highlights the opportunity for harmonisation through Galaxy

Ralf J. M. Weber, Thomas N. Lawson, R. Glen, 2016, Metabolomics.

Metabolic Signatures of Gestational Weight Gain and Postpartum Weight Loss in a Lifestyle Intervention Study of Overweight and Obese Women

L. Hou, T. Ebbels, Q. Chan, 2020, Metabolites.

Applying ' omics technologies in chemicals risk assessment :

George Daston, Timothy W. Gant, Laura Gribaldo, 2022 .

Bioinformatics Applications Note Systems Biology Integrated Pathway-level Analysis of Transcriptomics and Metabolomics Data with Impala

A. Kamburov, T. Ebbels, R. Herwig, 2022 .

Predictive modelling using pathway scores: robustness and significance of pathway collections

Marcelo P. Segura-Lepe, T. Ebbels, H. Keun, 2019, BMC Bioinformatics.

The future of metabolomics in ELIXIR

Alejandra N. González-Beltrán, Ralf J. M. Weber, Rachel A. Spicer, 2017 .

The future of metabolomics in ELIXIR

Alejandra N. González-Beltrán, Ralf J. M. Weber, Rachel A. Spicer, 2017, F1000Research.

Predictive modelling using pathway scores: robustness and significance of pathway collections

Timothy M. D. Ebbels, Hector C. Keun, Marcelo P. Segura-Lepe, 2019, BMC Bioinformatics.

Two multiple-imaged z=4.05 galaxies in the cluster-lens Abell 2390

J. Kneib, R. Pelló, I. Smail, 1998, astro-ph/9810390.

Meeting-in-the-middle using metabolic profiling – a strategy for the identification of intermediate biomarkers in cohort studies

Stephen J. Bruce, M. De Iorio, P. Vineis, 2011, Biomarkers.

Metabolic profiling and the metabolome-wide association study: significance level for biomarker identification.

Ian J. Brown, P. Elliott, M. De Iorio, 2010, Journal of proteome research.

Erratum to: COordination of Standards in MetabOlomicS (COSMOS): facilitating integrated metabolomics data access

R. Goodacre, M. Nikolski, Susanna-Assunta Sansone, 2015, Metabolomics.

nmrML: A Community Supported Open Data Standard for the Description, Storage, and Exchange of NMR Data.

Joseph A. Cruz, D. Wishart, T. Ebbels, 2018, Analytical chemistry.

Correction of mass calibration gaps in liquid chromatography-mass spectrometry metabolomics data

T. Ebbels, E. Want, H. P. Benton, 2010, Bioinform..