Date 2013-03-25

GC-MS libraries for the identification of metabolites in complex biological samples

Schauer, Nicolas
Steinhauser, Dirk
Strelkov, Sergej
Schomburg, Dietmar
Allison, Gordon G.
Moritz, Thomas
Lundgren, Krister
Roessner-Tunali, Ute
Forbes, Megan
Willmitzer, Lothar
Fernie, Alisdair R.
Kopka, Joachim

February 2005

Gas chromatography–mass spectrometry based metabolite profiling of biological samples is rapidly bec...

mzTab-M: A Data Standard for Sharing Quantitative Results in Mass Spectrometry Metabolomics

Hoffmann, Nils
Rein, Joel
Sachsenberg, Timo
Hartler, Jürgen
Haug, Kenneth
Mayer, Gerhard
Alka, Oliver
Dayalan, Saravanan
Pearce, Jake T. M.
Rocca-Serra, Philippe
Qi, Da
Eisenacher, Martin
Perez-Riverol, Yasset
Vizcaíno, Juan Antonio
Salek, Reza M.
Neumann, Steffen
Jones, Andrew R.

January 2019

Hoffmann N, Rein J, Sachsenberg T, et al. mzTab-M: A Data Standard for Sharing Quantitative Results ...

Frictionless Tabular data package for GC-MS data from Rose Genome article published in Nature genetics, June, 2018

Philippe Rocca-Serra
Susanna Assunta Sansone

April 2019

This dataset, in the form of a Frictionless Tabular Data Package (https://frictionlessdata.io/specs/...

Version 1.16.2 Date 2013/04/16 Title Analysis of Metabolomics GC/MS Data

Mark Robinson
Maintainer Mark Robinson

January 2013

Description Fragment-level analysis of gas chromatography- mass spectrometry metabolomics dat

metaMS: an open-source pipeline for GC-MS-based untargeted metabolomics

Wehrens, Herman Ronald Maria Johan
Weingart, Georg
Mattivi, Fulvio

January 2014

Untargeted metabolomics are rapidly becoming an important tool for studying complex biological sampl...

Metabolomics by Gas Chromatography–Mass Spectrometry: Combined Targeted and Untargeted Profiling

Fiehn, Oliver

April 2016

Gas chromatography-mass spectrometry (GC-MS)-based metabolomics is ideal for identifying and quantit...

metaMS: An open-source pipeline for GC–MS-based untargeted metabolomics

Wehrens, H.R.M.J.
Weingart, G.
Mattivi, F.

January 2014

Untargeted metabolomics are rapidly becoming an important tool for studying complex biological sampl...

Exploring metabolome with GC/MS

Jousse, Cyril, C.
Pujos-Guillot, Estelle

January 2013

Chapitre 6The rapidly expanding field of metabolomics has been driven by major advances in analytica...

MassOmics: An R package of a cross-platform data processing pipeline for large-scale GC-MS untargeted metabolomics datasets

George GUO
Elizabeth J. McKenzie
M. Beatrix Jones
Erica Zarate
Jamie de Seymour
Philip N. Baker
Villas-Bôas, Silas G.
Ting-Li Han

June 2021

Background Large-scale gas chromatography-mass spectrometry (GC-MS) -based untargeted metabolomics,...

Metabolomics data pre-processing using xcms

Rainer, Johannes

June 2020

Workflow illustrating mass spectrometry (MS) data handling and access using Bioconductor’s MSnbase p...

Review of recent developments in GC-MS approaches to metabolomics-based research

Beale, D
Pinu, F
Kouremenos, K
Poojary, M
Narayana, V
Boughton, B
Kanojia, K
Dayalan, S
Jones, O
Dias, D

January 2018

Background Metabolomics aims to identify the changes in endogenous metabolites of biological systems...

GC-MS libraries for the rapid identification of metabolites in complex biological samples

Schauer, N.
Steinhauser, D.
Strelkov, S.
Schomburg, D.
Allison, G.
Moritz, T.
Lundgren, K.
Roessner-Tunali, U.
Forbes, M. G.
Willmitzer, L.
Fernie, A. R.
Kopka, J.

January 2005

Gas chromatography-mass spectrometry based metabolite profiling of biological samples is rapidly bec...

Updates in metabolomics tools and resources: 2014-2015

Misra, Biswapriya B.
van der Hooft, Justin

January 2016

Data processing and interpretation represent the most challenging and time-consuming steps in high-t...

An Open Software Development-based Ecosystem of R Packages for Metabolomics Data Analysis

Vicini, Andrea
Gine, Roger
Stravs, Michele
Badia, Josep M
Huber, Carolin
Salzer, Liesa
Stanstrup, Jan
Shahaf, Nir
Naake, Thomas
Hecht, Helge
Neumann, Steffen
Witting, Michael
Gibb, Sebastian
Gatto, Laurent
Rainer, Johannes

May 2023

Lack of support, maintenance and further development is common with scientific research software. In...

Baitmet, a computational approach for GC-MS library-driven metabolite profiling

Domingo-Almenara, X.
Brezmes, J.
Venturini, G.
Vivó-Truyols, G.
Perera, A.
Vinaixa, M.

August 2017

Introduction Current computational tools for gas chromatography-mass spectrometry (GC-MS) metabolom...

GC-MS libraries for the identification of metabolites in complex biological samples

Schauer, Nicolas
Steinhauser, Dirk
Strelkov, Sergej
Schomburg, Dietmar
Allison, Gordon G.
Moritz, Thomas
Lundgren, Krister
Roessner-Tunali, Ute
Forbes, Megan
Willmitzer, Lothar
Fernie, Alisdair R.
Kopka, Joachim

February 2005

Gas chromatography–mass spectrometry based metabolite profiling of biological samples is rapidly bec...

mzTab-M: A Data Standard for Sharing Quantitative Results in Mass Spectrometry Metabolomics

Hoffmann, Nils
Rein, Joel
Sachsenberg, Timo
Hartler, Jürgen
Haug, Kenneth
Mayer, Gerhard
Alka, Oliver
Dayalan, Saravanan
Pearce, Jake T. M.
Rocca-Serra, Philippe
Qi, Da
Eisenacher, Martin
Perez-Riverol, Yasset
Vizcaíno, Juan Antonio
Salek, Reza M.
Neumann, Steffen
Jones, Andrew R.

January 2019

Hoffmann N, Rein J, Sachsenberg T, et al. mzTab-M: A Data Standard for Sharing Quantitative Results ...

Frictionless Tabular data package for GC-MS data from Rose Genome article published in Nature genetics, June, 2018

Philippe Rocca-Serra
Susanna Assunta Sansone

April 2019

This dataset, in the form of a Frictionless Tabular Data Package (https://frictionlessdata.io/specs/...

Version 1.16.2 Date 2013/04/16 Title Analysis of Metabolomics GC/MS Data

Mark Robinson
Maintainer Mark Robinson

January 2013

Description Fragment-level analysis of gas chromatography- mass spectrometry metabolomics dat

metaMS: an open-source pipeline for GC-MS-based untargeted metabolomics

Wehrens, Herman Ronald Maria Johan
Weingart, Georg
Mattivi, Fulvio

January 2014

Untargeted metabolomics are rapidly becoming an important tool for studying complex biological sampl...

Metabolomics by Gas Chromatography–Mass Spectrometry: Combined Targeted and Untargeted Profiling

Fiehn, Oliver

April 2016

Gas chromatography-mass spectrometry (GC-MS)-based metabolomics is ideal for identifying and quantit...

metaMS: An open-source pipeline for GC–MS-based untargeted metabolomics

Wehrens, H.R.M.J.
Weingart, G.
Mattivi, F.

January 2014

Untargeted metabolomics are rapidly becoming an important tool for studying complex biological sampl...

Exploring metabolome with GC/MS

Jousse, Cyril, C.
Pujos-Guillot, Estelle

January 2013

Chapitre 6The rapidly expanding field of metabolomics has been driven by major advances in analytica...

MassOmics: An R package of a cross-platform data processing pipeline for large-scale GC-MS untargeted metabolomics datasets

George GUO
Elizabeth J. McKenzie
M. Beatrix Jones
Erica Zarate
Jamie de Seymour
Philip N. Baker
Villas-Bôas, Silas G.
Ting-Li Han

June 2021

Background Large-scale gas chromatography-mass spectrometry (GC-MS) -based untargeted metabolomics,...

Metabolomics data pre-processing using xcms

Rainer, Johannes

June 2020

Workflow illustrating mass spectrometry (MS) data handling and access using Bioconductor’s MSnbase p...

Review of recent developments in GC-MS approaches to metabolomics-based research

Beale, D
Pinu, F
Kouremenos, K
Poojary, M
Narayana, V
Boughton, B
Kanojia, K
Dayalan, S
Jones, O
Dias, D

January 2018

Background Metabolomics aims to identify the changes in endogenous metabolites of biological systems...

GC-MS libraries for the rapid identification of metabolites in complex biological samples

Schauer, N.
Steinhauser, D.
Strelkov, S.
Schomburg, D.
Allison, G.
Moritz, T.
Lundgren, K.
Roessner-Tunali, U.
Forbes, M. G.
Willmitzer, L.
Fernie, A. R.
Kopka, J.

January 2005

Gas chromatography-mass spectrometry based metabolite profiling of biological samples is rapidly bec...

Updates in metabolomics tools and resources: 2014-2015

Misra, Biswapriya B.
van der Hooft, Justin

January 2016

Data processing and interpretation represent the most challenging and time-consuming steps in high-t...

An Open Software Development-based Ecosystem of R Packages for Metabolomics Data Analysis

Vicini, Andrea
Gine, Roger
Stravs, Michele
Badia, Josep M
Huber, Carolin
Salzer, Liesa
Stanstrup, Jan
Shahaf, Nir
Naake, Thomas
Hecht, Helge
Neumann, Steffen
Witting, Michael
Gibb, Sebastian
Gatto, Laurent
Rainer, Johannes

May 2023

Lack of support, maintenance and further development is common with scientific research software. In...

Baitmet, a computational approach for GC-MS library-driven metabolite profiling

Domingo-Almenara, X.
Brezmes, J.
Venturini, G.
Vivó-Truyols, G.
Perera, A.
Vinaixa, M.

August 2017

Introduction Current computational tools for gas chromatography-mass spectrometry (GC-MS) metabolom...

GC-MS libraries for the identification of metabolites in complex biological samples

Schauer, Nicolas
Steinhauser, Dirk
Strelkov, Sergej
Schomburg, Dietmar
Allison, Gordon G.
Moritz, Thomas
Lundgren, Krister
Roessner-Tunali, Ute
Forbes, Megan
Willmitzer, Lothar
Fernie, Alisdair R.
Kopka, Joachim

February 2005

Gas chromatography–mass spectrometry based metabolite profiling of biological samples is rapidly bec...

mzTab-M: A Data Standard for Sharing Quantitative Results in Mass Spectrometry Metabolomics

Hoffmann, Nils
Rein, Joel
Sachsenberg, Timo
Hartler, Jürgen
Haug, Kenneth
Mayer, Gerhard
Alka, Oliver
Dayalan, Saravanan
Pearce, Jake T. M.
Rocca-Serra, Philippe
Qi, Da
Eisenacher, Martin
Perez-Riverol, Yasset
Vizcaíno, Juan Antonio
Salek, Reza M.
Neumann, Steffen
Jones, Andrew R.

January 2019

Hoffmann N, Rein J, Sachsenberg T, et al. mzTab-M: A Data Standard for Sharing Quantitative Results ...

Frictionless Tabular data package for GC-MS data from Rose Genome article published in Nature genetics, June, 2018

Philippe Rocca-Serra
Susanna Assunta Sansone

April 2019

This dataset, in the form of a Frictionless Tabular Data Package (https://frictionlessdata.io/specs/...

Abstract

Extracted data

Date 2013-03-25

Abstract

Extracted data

Topics

Related items

Topics

Related items