Julia M. Gauglitz

ORCID: 0000-0003-3146-2489
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About
Contact & Profiles
Research Areas
  • Metabolomics and Mass Spectrometry Studies
  • Gut microbiota and health
  • Advanced Chemical Sensor Technologies
  • Bioinformatics and Genomic Networks
  • Analytical Chemistry and Chromatography
  • Isotope Analysis in Ecology
  • Genomics and Phylogenetic Studies
  • Computational Drug Discovery Methods
  • Microbial Community Ecology and Physiology
  • Mass Spectrometry Techniques and Applications
  • Marine and coastal ecosystems
  • Infant Nutrition and Health
  • Liver Disease Diagnosis and Treatment
  • Scientific Computing and Data Management
  • Nutrition, Genetics, and Disease
  • Mycobacterium research and diagnosis
  • Bacterial Genetics and Biotechnology
  • Advanced Proteomics Techniques and Applications
  • Protist diversity and phylogeny
  • Fatty Acid Research and Health
  • Antimicrobial Peptides and Activities
  • Breastfeeding Practices and Influences
  • Indoor Air Quality and Microbial Exposure
  • Diatoms and Algae Research
  • Immune cells in cancer

University of Antwerp
2023-2024

University of California, San Diego
2018-2023

University of Montana
2018-2022

Universidad de Málaga
2021

Consejo Superior de Investigaciones Científicas
2021

Instituto de Hortofruticultura Subtropical y Mediterránea "La Mayora"
2021

Woods Hole Oceanographic Institution
2017-2020

La Jolla Alcohol Research
2020

University of California, Santa Barbara
2011-2016

University of California System
2014

Evan Bolyen Jai Ram Rideout Matthew R. Dillon Nicholas A. Bokulich Christian C. Abnet and 95 more Gabriel A. Al‐Ghalith Harriet Alexander Eric J. Alm Manimozhiyan Arumugam Francesco Asnicar Yang Bai Jordan E. Bisanz Kyle Bittinger Asker Brejnrod Colin Brislawn C. Titus Brown Benjamin J. Callahan Andrés Mauricio Caraballo‐Rodríguez John Chase Emily K. Cope Ricardo J.N. Bettencourt da Silva Pieter C. Dorrestein Gavin M. Douglas Daniel M. Durall Claire Duvallet Christian F. Edwardson Madeleine Ernst Mehrbod Estaki Jennifer Fouquier Julia M. Gauglitz Deanna L. Gibson Antonio González Kestrel Gorlick Jiarong Guo Benjamin Hillmann Susan Holmes Hannes Holste Curtis Huttenhower Gavin Huttley Stefan Janssen Alan K. Jarmusch Lingjing Jiang Benjamin D. Kaehler Kyo Bin Kang Christopher R. Keefe Paul Keim Scott T. Kelley Dan Knights Irina Koester Tomasz Kościółek Jorden Kreps Morgan G. I. Langille Joslynn S. Lee Ruth E. Ley Yongxin Liu Erikka Loftfield Catherine Lozupone Massoud Maher Clarisse Marotz Bryan D Martin Daniel McDonald Lauren J. McIver Alexey V. Melnik Jessica L. Metcalf Sydney Morgan Jamie Morton Ahmad Turan Naimey José A. Navas-Molina Louis‐Félix Nothias Stephanie B. Orchanian Talima Pearson Samuel L Peoples Daniel Petras Mary L. Preuss Elmar Pruesse Lasse Buur Rasmussen Adam R. Rivers Michael S. Robeson Patrick Rosenthal Nicola Segata Michael Shaffer Arron Shiffer Rashmi Sinha Se Jin Song John R. Spear Austin D. Swafford Luke Thompson Pedro J. Torres Pauline Trinh Anupriya Tripathi Peter J. Turnbaugh Sabah Ul-Hasan Justin J. J. van der Hooft Fernando Vargas Yoshiki Vázquez‐Baeza Emily Vogtmann Max von Hippel William A. Walters Yunhu Wan Mingxun Wang

We present QIIME 2, an open-source microbiome data science platform accessible to users spanning the research ecosystem, from scientists and engineers clinicians policy makers. 2 provides new features that will drive next generation of research. These include interactive spatial temporal analysis visualization tools, support for metabolomics shotgun metagenomics analysis, automated provenance tracking ensure reproducible, transparent science.

10.7287/peerj.preprints.27295v1 article EN 2018-10-24
Evan Bolyen Jai Ram Rideout Matthew R. Dillon Nicholas A. Bokulich Christian C. Abnet and 95 more Gabriel A. Al‐Ghalith Harriet Alexander Eric J. Alm Manimozhiyan Arumugam Francesco Asnicar Yang Bai Jordan E. Bisanz Kyle Bittinger Asker Brejnrod Colin Brislawn C. Titus Brown Benjamin J. Callahan Andrés Mauricio Caraballo‐Rodríguez John Chase Emily K. Cope Ricardo J.N. Bettencourt da Silva Pieter C. Dorrestein Gavin M. Douglas Daniel M. Durall Claire Duvallet Christian F. Edwardson Madeleine Ernst Mehrbod Estaki Jennifer Fouquier Julia M. Gauglitz Deanna L. Gibson Antonio González Kestrel Gorlick Jiarong Guo Benjamin Hillmann Susan Holmes Hannes Holste Curtis Huttenhower Gavin Huttley Stefan Janssen Alan K. Jarmusch Lingjing Jiang Benjamin D. Kaehler Kyo Bin Kang Christopher R. Keefe Paul Keim Scott T. Kelley Dan Knights Irina Koester Tomasz Kościółek Jorden Kreps Morgan G. I. Langille Joslynn S. Lee Ruth E. Ley Yongxin Liu Erikka Loftfield Catherine Lozupone Massoud Maher Clarisse Marotz Bryan D Martin Daniel McDonald Lauren J. McIver Alexey V. Melnik Jessica L. Metcalf Sydney Morgan Jamie Morton Ahmad Turan Naimey José A. Navas-Molina Louis‐Félix Nothias Stephanie B. Orchanian Talima Pearson Samuel L Peoples Daniel Petras Mary L. Preuss Elmar Pruesse Lasse Buur Rasmussen Adam R. Rivers Michael S. Robeson Patrick Rosenthal Nicola Segata Michael Shaffer Arron Shiffer Rashmi Sinha Se Jin Song John R. Spear Austin D. Swafford Luke Thompson Pedro J. Torres Pauline Trinh Anupriya Tripathi Peter J. Turnbaugh Sabah Ul-Hasan Justin J. J. van der Hooft Fernando Vargas Yoshiki Vázquez‐Baeza Emily Vogtmann Max von Hippel William A. Walters Yunhu Wan Mingxun Wang

We present QIIME 2, an open-source microbiome data science platform accessible to users spanning the research ecosystem, from scientists and engineers clinicians policy makers. 2 provides new features that will drive next generation of research. These include interactive spatial temporal analysis visualization tools, support for metabolomics shotgun metagenomics analysis, automated provenance tracking ensure reproducible, transparent science.

10.7287/peerj.preprints.27295v2 preprint EN 2018-12-03

Abstract Molecular networking connects mass spectra of molecules based on the similarity their fragmentation patterns. However, during ionization, commonly form multiple ion species with different behavior. As a result, these often remain unconnected in tandem spectrometry-based molecular networks, leading to redundant and disconnected sub-networks same compound classes. To overcome this bottleneck, we develop Ion Identity Networking (IIMN) that integrates chromatographic peak shape...

10.1038/s41467-021-23953-9 article EN cc-by Nature Communications 2021-06-22
Evan Bolyen Jai Ram Rideout Matthew R. Dillon Nicholas A. Bokulich Christian C. Abnet and 95 more Gabriel A. Al‐Ghalith Harriet Alexander Eric J. Alm Manimozhiyan Arumugam Francesco Asnicar Yang Bai Jordan E. Bisanz Kyle Bittinger Asker Brejnrod Colin Brislawn C. Titus Brown Benjamin J. Callahan Andrés Mauricio Caraballo‐Rodríguez John Chase Emily K. Cope Ricardo J.N. Bettencourt da Silva Pieter C. Dorrestein Gavin M. Douglas Daniel M. Durall Claire Duvallet Christian F. Edwardson Madeleine Ernst Mehrbod Estaki Jennifer Fouquier Julia M. Gauglitz Deanna L. Gibson Antonio González Kestrel Gorlick Jiarong Guo Benjamin Hillmann Susan Holmes Hannes Holste Curtis Huttenhower Gavin Huttley Stefan Janssen Alan K. Jarmusch Lingjing Jiang Benjamin D. Kaehler Kyo Bin Kang Christopher R. Keefe Paul Keim Scott T. Kelley Dan Knights Irina Koester Tomasz Kościółek Jorden Kreps Morgan G. I. Langille Joslynn S. Lee Ruth E. Ley Yongxin Liu Erikka Loftfield Catherine Lozupone Massoud Maher Clarisse Marotz Bryan D Martin Daniel McDonald Lauren J. McIver Alexey V. Melnik Jessica L. Metcalf Sydney Morgan Jamie Morton Ahmad Turan Naimey José A. Navas-Molina Louis‐Félix Nothias Stephanie B. Orchanian Talima Pearson Samuel L Peoples Daniel Petras Mary L. Preuss Elmar Pruesse Lasse Buur Rasmussen Adam R. Rivers Michael S. Robeson Patrick Rosenthal Nicola Segata Michael Shaffer Arron Shiffer Rashmi Sinha Se Jin Song John R. Spear Austin D. Swafford Luke Thompson Pedro J. Torres Pauline Trinh Anupriya Tripathi Peter J. Turnbaugh Sabah Ul-Hasan Justin J. J. van der Hooft Fernando Vargas Yoshiki Vázquez‐Baeza Emily Vogtmann Max von Hippel William A. Walters Yunhu Wan Mingxun Wang

We present QIIME 2, an open-source microbiome data science platform accessible to users spanning the research ecosystem, from scientists and engineers clinicians policy makers. 2 provides new features that will drive next generation of research. These include interactive spatial temporal analysis visualization tools, support for metabolomics shotgun metagenomics analysis, automated provenance tracking ensure reproducible, transparent science.

10.7287/peerj.preprints.27295 preprint EN 2018-10-24
Michelle Schorn Stefan Verhoeven Lars Ridder Florian Huber Deepa Acharya and 95 more Alexander A. Aksenov Gajender Aleti Jamshid Amiri Moghaddam Allegra T. Aron Saefuddin Aziz Anelize Bauermeister Katherine D. Bauman Martin Baunach Christine Beemelmanns J. Michael Beman María Victoria Berlanga‐Clavero Alex Blacutt Helge B. Bode Anne Boullié Asker Brejnrod Tim S. Bugni Alexandra Calteau Liu Cao Víctor J. Carrión Raquel Castelo‐Branco Shaurya Chanana Alexander B. Chase Marc G. Chevrette Letícia V. Costa‐Lotufo Jason M. Crawford Cameron R. Currie Bart Cuypers Tam Dang Tristan de Rond Alyssa M. Demko Elke Dittmann Chao Du Christopher Drozd Jean‐Claude Dujardin Rachel J. Dutton Anna Edlund David P. Fewer Neha Garg Julia M. Gauglitz Emily C. Gentry Lena Gerwick Evgenia Glukhov Harald Gross Muriel Gugger Dulce G. Guillén-Matus Eric J. N. Helfrich Benjamin-Florian Hempel Jae-Seoun Hur Marianna Iorio Paul R. Jensen Kyo Bin Kang Leonard Kaysser Neil L. Kelleher Chung Sub Kim Ki Hyun Kim Irina Koester Gabriele M. König Tiago Leão Seoung Rak Lee Yi-Yuan Lee Xuanji Li Jessica Little Katherine N. Maloney Daniel Männle Christian Martin Andrew C. McAvoy Willam W. Metcalf Hosein Mohimani Carlos Molina‐Santiago Bradley S. Moore Michael W. Mullowney Mitchell N. Muskat Louis‐Félix Nothias Ellis C. O’Neill Elizabeth I. Parkinson Daniel Petras Jörn Piel Emily C. Pierce Karine Pires Raphael Reher Diego Romero M. Caroline Roper Michael Rust Hamada Saad Carmen Saenz Laura M. Sanchez Søren J. Sørensen Margherita Sosio Roderich D. Süßmuth Douglas Sweeney Kapil Tahlan Regan J. Thomson Nicholas J. Tobias Amaro E. Trindade-Silva Gilles P. van Wezel

Genomics and metabolomics are widely used to explore specialized metabolite diversity. The Paired Omics Data Platform is a community initiative systematically document links between metabolome (meta)genome data, aiding identification of natural product biosynthetic origins structures.

10.1038/s41589-020-00724-z article EN cc-by Nature Chemical Biology 2021-02-15

Abstract Despite the increasing availability of tandem mass spectrometry (MS/MS) community spectral libraries for untargeted metabolomics over past decade, majority acquired MS/MS spectra remain uninterpreted. To further aid in interpreting unannotated spectra, we created a nearest neighbor suspect library, consisting 87,916 annotated derived from hundreds millions originating published experiments. Entries this or “suspects,” were that could be linked molecular network to an spectrum....

10.1038/s41467-023-44035-y article EN cc-by Nature Communications 2023-12-20

Geochemical analyses of sedimentary barites (barium sulfates) in the geological record have yielded fundamental insights into chemistry Archean environment and evolutionary origin microbial metabolisms. However, question how were able to precipitate from a contemporary ocean that contained only trace amounts sulfate remains controversial. Here we report dissolved particulate multi-element barium-isotopic data Lake Superior evidence pelagic barite precipitation at micromolar ambient sulfate....

10.1038/s41467-017-01229-5 article EN cc-by Nature Communications 2017-11-01

Abstract Molecular networking has become a key method used to visualize and annotate the chemical space in non-targeted mass spectrometry-based experiments. However, distinguishing isomeric compounds quantitative interpretation are currently limited. Therefore, we created Feature-based Networking (FBMN) as new analysis Global Natural Products Social (GNPS) infrastructure. FBMN leverages feature detection alignment tools enhance analyses isomer distinction, including from ion-mobility...

10.1101/812404 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2019-10-20

10.1038/s41587-022-01368-1 article EN Nature Biotechnology 2022-07-07

Standard workflows for analyzing microbiomes often include the creation and curation of phylogenetic trees. Here we present EMPress, an interactive web tool visualizing trees in context microbiome, metabolome, other community data scalable to with well over 500,000 nodes. EMPress provides novel functionality-including ordination integration animations-alongside many standard tree visualization features thus simplifies exploratory analyses forms 'omic data.IMPORTANCE Phylogenetic are integral...

10.1128/msystems.01216-20 article EN cc-by mSystems 2021-03-15

Abstract Despite the increasing availability of tandem mass spectrometry (MS/MS) community spectral libraries for untargeted metabolomics over past decade, majority acquired MS/MS spectra remain uninterpreted. To further aid in interpreting unannotated spectra, we created a nearest neighbor suspect library, consisting 87,916 annotated derived from hundreds millions public spectra. Annotations were propagated based on structural relationships to reference molecules using MS/MS-based spectrum...

10.1101/2022.05.15.490691 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2022-05-15

BackgroundObesity predominantly affects populations in high-income countries and those facing epidemiological transition. The risk of childhood obesity is increased among infants who had overweight or at birth, but low-resource settings one five are born small for gestational age. We aimed to study the relationships between: (1) maternal metabolite signatures; (2) fetal abdominal growth; (3) postnatal growth, adiposity, neurodevelopment.MethodsIn prospective, multinational, observational...

10.1016/s2213-8587(22)00215-7 article EN cc-by The Lancet Diabetes & Endocrinology 2022-08-26

There is increasing epidemiological evidence supporting the association between onchocerciasis and seizures, reinforcing concept of onchocerciasis-associated epilepsy (OAE). The aim this paper to provide an update on new knowledge about OAE propose recommendations World Health Organization how address public health problem. During 2nd International Workshop held 19-21 September, 2023, in Antwerp, Belgium, participants recognised as a substantial yet neglected problem, particularly areas...

10.1186/s40249-024-01174-8 article EN cc-by Infectious Diseases of Poverty 2024-01-12

Characterization of dissolved organic matter in terms its composition and optical properties, with an eye toward ultimately understanding deep ocean dynamics, is the currently active frontier DOM research. We used UV-visible absorption spectroscopy fluorescence excitation-emission matrix (EEM) to characterize open along sections U.S. CO2/CLIVAR Repeat Hydrography Project located all major basins outside Arctic. Despite large differences intensity between basins, some variability patterns...

10.3389/fmars.2015.00118 article EN cc-by Frontiers in Marine Science 2016-01-07

Crocosphaera is one of the major N 2 -fixing microorganisms in open ocean. On a global scale, process fixation important balancing budget, but factors governing rate remain poorly resolved. Here, we combine mechanistic model and both previous present laboratory studies to quantify how chemical such as C, N, Fe, O physical temperature light affect fixation. Our study shows that combines multiple mechanisms reduce intracellular protect -sensitive enzyme. model, however, indicates these...

10.1128/msphere.00531-19 article EN cc-by mSphere 2019-12-10
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