Literature DB >> 29039932

Annotation: A Computational Solution for Streamlining Metabolomics Analysis.

Xavier Domingo-Almenara1, J Rafael Montenegro-Burke1, H Paul Benton1, Gary Siuzdak1.   

Abstract

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Year:  2017        PMID： 29039932      PMCID： PMC5750104          DOI： 10.1021/acs.analchem.7b03929

Source DB:  PubMed          Journal:  Anal Chem        ISSN： 0003-2700            Impact factor:   6.986


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  74 in total

1.  Probabilistic assignment of formulas to mass peaks in metabolomics experiments.

Authors:  Simon Rogers; Richard A Scheltema; Mark Girolami; Rainer Breitling
Journal:  Bioinformatics       Date:  2008-12-18       Impact factor: 6.937

2.  Robust automated mass spectra interpretation and chemical formula calculation using mixed integer linear programming.

Authors:  Richard Baran; Trent R Northen
Journal:  Anal Chem       Date:  2013-09-27       Impact factor: 6.986

3.  Retention time prediction for dereplication of natural products (CxHyOz) in LC-MS metabolite profiling.

Authors:  Philippe J Eugster; Julien Boccard; Benjamin Debrus; Lise Bréant; Jean-Luc Wolfender; Sophie Martel; Pierre-Alain Carrupt
Journal:  Phytochemistry       Date:  2014-12       Impact factor: 4.072

4.  iMet: A Network-Based Computational Tool To Assist in the Annotation of Metabolites from Tandem Mass Spectra.

Authors:  Antoni Aguilar-Mogas; Marta Sales-Pardo; Miriam Navarro; Roger Guimerà; Oscar Yanes
Journal:  Anal Chem       Date:  2017-03-03       Impact factor: 6.986

5.  MetFusion: integration of compound identification strategies.

Authors:  Michael Gerlich; Steffen Neumann
Journal:  J Mass Spectrom       Date:  2013-03       Impact factor: 1.982

6.  MET-COFEA: a liquid chromatography/mass spectrometry data processing platform for metabolite compound feature extraction and annotation.

Authors:  Wenchao Zhang; Junil Chang; Zhentian Lei; David Huhman; Lloyd W Sumner; Patrick X Zhao
Journal:  Anal Chem       Date:  2014-06-09       Impact factor: 6.986

7.  In silico fragmentation for computer assisted identification of metabolite mass spectra.

Authors:  Sebastian Wolf; Stephan Schmidt; Matthias Müller-Hannemann; Steffen Neumann
Journal:  BMC Bioinformatics       Date:  2010-03-22       Impact factor: 3.169

8.  Defining and Detecting Complex Peak Relationships in Mass Spectral Data: The Mz.unity Algorithm.

Authors:  Nathaniel G Mahieu; Jonathan L Spalding; Susan J Gelman; Gary J Patti
Journal:  Anal Chem       Date:  2016-08-31       Impact factor: 6.986

9.  LipidFrag: Improving reliability of in silico fragmentation of lipids and application to the Caenorhabditis elegans lipidome.

Authors:  Michael Witting; Christoph Ruttkies; Steffen Neumann; Philippe Schmitt-Kopplin
Journal:  PLoS One       Date:  2017-03-09       Impact factor: 3.240

10.  The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases.

Authors:  Ron Caspi; Richard Billington; Luciana Ferrer; Hartmut Foerster; Carol A Fulcher; Ingrid M Keseler; Anamika Kothari; Markus Krummenacker; Mario Latendresse; Lukas A Mueller; Quang Ong; Suzanne Paley; Pallavi Subhraveti; Daniel S Weaver; Peter D Karp
Journal:  Nucleic Acids Res       Date:  2015-11-02       Impact factor: 16.971
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  41 in total

1.  A systematic review on metabolomics-based diagnostic biomarker discovery and validation in pancreatic cancer.

Authors:  Nguyen Phuoc Long; Sang Jun Yoon; Nguyen Hoang Anh; Tran Diem Nghi; Dong Kyu Lim; Yu Jin Hong; Soon-Sun Hong; Sung Won Kwon
Journal:  Metabolomics       Date:  2018-08-10       Impact factor: 4.290

2.  Cognitive analysis of metabolomics data for systems biology.

Authors:  Erica L-W Majumder; Elizabeth M Billings; H Paul Benton; Richard L Martin; Amelia Palermo; Carlos Guijas; Markus M Rinschen; Xavier Domingo-Almenara; J Rafael Montenegro-Burke; Bradley A Tagtow; Robert S Plumb; Gary Siuzdak
Journal:  Nat Protoc       Date:  2021-01-22       Impact factor: 13.491

3.  Peak Annotation and Verification Engine for Untargeted LC-MS Metabolomics.

Authors:  Lin Wang; Xi Xing; Li Chen; Lifeng Yang; Xiaoyang Su; Herschel Rabitz; Wenyun Lu; Joshua D Rabinowitz
Journal:  Anal Chem       Date:  2019-01-10       Impact factor: 6.986

4.  Metabolic adaptation to calorie restriction.

Authors:  Carlos Guijas; J Rafael Montenegro-Burke; Rigo Cintron-Colon; Xavier Domingo-Almenara; Manuel Sanchez-Alavez; Carlos A Aguirre; Kokila Shankar; Erica L-W Majumder; Elizabeth Billings; Bruno Conti; Gary Siuzdak
Journal:  Sci Signal       Date:  2020-09-08       Impact factor: 8.192

5.  Mapping Lipid Fragmentation for Tailored Mass Spectral Libraries.

Authors:  Paul D Hutchins; Jason D Russell; Joshua J Coon
Journal:  J Am Soc Mass Spectrom       Date:  2019-02-12       Impact factor: 3.109

6.  Improved Annotation of Untargeted Metabolomics Data through Buffer Modifications That Shift Adduct Mass and Intensity.

Authors:  Wenyun Lu; Xi Xing; Lin Wang; Li Chen; Sisi Zhang; Melanie R McReynolds; Joshua D Rabinowitz
Journal:  Anal Chem       Date:  2020-08-12       Impact factor: 6.986

7.  De novo structure determination of 3-((3-aminopropyl)amino)-4-hydroxybenzoic acid, a novel and abundant metabolite in Acinetobacter baylyi ADP1.

Authors:  Marion Thomas; Lucille Stuani; Ekaterina Darii; Christophe Lechaplais; Emilie Pateau; Jean-Claude Tabet; Marcel Salanoubat; Pierre-Loïc Saaidi; Alain Perret
Journal:  Metabolomics       Date:  2019-03-14       Impact factor: 4.290

Review 8.  Metabolomics and Isotope Tracing.

Authors:  Cholsoon Jang; Li Chen; Joshua D Rabinowitz
Journal:  Cell       Date:  2018-05-03       Impact factor: 41.582

9.  Autonomous METLIN-Guided In-source Fragment Annotation for Untargeted Metabolomics.

Authors:  Xavier Domingo-Almenara; J Rafael Montenegro-Burke; Carlos Guijas; Erica L-W Majumder; H Paul Benton; Gary Siuzdak
Journal:  Anal Chem       Date:  2019-02-11       Impact factor: 6.986

Review 10.  Identification of bioactive metabolites using activity metabolomics.

Authors:  Markus M Rinschen; Julijana Ivanisevic; Martin Giera; Gary Siuzdak
Journal:  Nat Rev Mol Cell Biol       Date:  2019-06       Impact factor: 94.444
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