Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Lachlan Stuart"'
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-11 (2020)
Abstract Background Imaging mass spectrometry (imaging MS) is an enabling technology for spatial metabolomics of tissue sections with rapidly growing areas of applications in biology and medicine. However, imaging MS data is polluted with off-sample
Externí odkaz:
https://doaj.org/article/30d87d507a7e445e8184392a953edec1
Autor:
Don D. Nguyen, Veronika Saharuka, Vitaly Kovalev, Lachlan Stuart, Massimo Del Prete, Kinga Lubowiecka, René De Mot, Vittorio Venturi, Theodore Alexandrov
Publikováno v:
Metabolites, Vol 11, Iss 8, p 477 (2021)
Metabolite annotation from imaging mass spectrometry (imaging MS) data is a difficult undertaking that is extremely resource intensive. Here, we adapted METASPACE, cloud software for imaging MS metabolite annotation and data interpretation, to quickl
Externí odkaz:
https://doaj.org/article/13631acb92e24e7aadd50be9d49147ba
Imaging mass spectrometry enables spatial metabolomics, yet metabolites can be assigned only to a fraction of the data generated. METASPACE-ML is a machine learning-based approach addressing this challenge. Integrating new scores and computationally-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8716580f1397ed94001f1929729bc584
https://doi.org/10.1101/2023.05.29.542736
https://doi.org/10.1101/2023.05.29.542736
Publikováno v:
Analytical chemistry. 94(25)
On-tissue chemical derivatization is a valuable tool for expanding compound coverage in untargeted metabolomic studies with matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI). Applying multiple derivatization agents in
Autor:
Theodore Alexandrov, Lachlan Stuart, Sergey I. Nikolenko, Alexander Rakhlin, Katja Ovchinnikova
Publikováno v:
Bioinformatics
Motivation Imaging mass spectrometry (imaging MS) is a prominent technique for capturing distributions of molecules in tissue sections. Various computational methods for imaging MS rely on quantifying spatial correlations between ion images, referred
Autor:
René De Mot, Veronika Saharuka, Lachlan Stuart, Theodore Alexandrov, Don D. Nguyen, Vittorio Venturi, Kinga Lubowiecka, Vitaly Kovalev, Massimo Del Prete
Publikováno v:
Metabolites, Vol 11, Iss 477, p 477 (2021)
Metabolites
Metabolites
Metabolite annotation from imaging mass spectrometry (imaging MS) data is a difficult undertaking that is extremely resource intensive. Here, we adapted METASPACE, cloud software for imaging MS metabolite annotation and data interpretation, to quickl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c30af1667d809870c8c3a3ac103ee248
https://lirias.kuleuven.be/handle/20.500.12942/686866
https://lirias.kuleuven.be/handle/20.500.12942/686866
Publikováno v:
Middleware '20: Proceedings of the 21st International Middleware Conference Industrial Track
Middleware Industry
Middleware Industry
Serverless computing has recently gained much attention as a feasible alternative to always-on IaaS for data processing. However, existing severless frameworks are not (yet) usable enough to reach out to a large number of users. To wit, they still re
Autor:
Lachlan Stuart, Theodore Alexandrov, Sergey I. Nikolenko, Alexander Rakhlin, Katja Ovchinnikova
MotivationImaging mass spectrometry (imaging MS) is a prominent technique for capturing distributions of molecules in tissue sections. Various computational methods for imaging MS rely on quantifying spatial correlations between ion images, referred
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00d4f21448a59e8b2077f5f20e349f45
https://doi.org/10.1101/758425
https://doi.org/10.1101/758425
Autor:
Mark T. Bokhart, Marta Sans, Guanshi Zhang, Konstantin O. Nagornov, Katja Ovchinnikova, Vetter M, Bernhard Spengler, Carsten Hopf, Weaver E, Michael W. Linscheid, Balluff B, Zoltan Takats, Quiason C, Régis Lavigne, Mario Kompauer, James S. McKenzie, Janfelt C, Violante Gd, Shahidi-Latham S, Livia S. Eberlin, Joensen Am, Sarah Aboulmagd, David C. Muddiman, Lachlan Stuart, Dominik Fay, Luca Rappez, Charles Pineau, Prasad M, Benedikt Geier, Shane R. Ellis, Dinaiz Thinagaran, Lopez Cg, Manuel Liebeke, Erin Gemperline, Christopher R. Anderton, Kovalev, Michael Becker, Berin A. Boughton, Theodore Alexandrov, Nigmetzianov R, Dimitri Heintz, Denis A. Sammour, Sergio Triana, Dušan Veličković, Nicole Strittmatter, Swales J, Lingjun Li, Artem Tarasov, Bagger C, Ruhland E, Rigopoulos A, Kumar Sharma, Pánczél J, Richard J. A. Goodwin, Mathieu Gaudin, Andrew Palmer
Metabolites, lipids, and other small molecules are key constituents of tissues supporting cellular programs in health and disease. Here, we present METASPACE, a community-populated knowledge base of spatial metabolomes from imaging mass spectrometry
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69db415b3ad561db310dd586d65769e9
https://doi.org/10.1101/539478
https://doi.org/10.1101/539478
Publikováno v:
biorxiv
bioRxiv
bioRxiv
MotivationImaging mass spectrometry (imaging MS) is a powerful technology for revealing localizations of hundreds of molecules in tissue sections. However, imaging MS data is polluted with off-sample ions caused by caused by sample preparation, parti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54fe38f6382eace5deb28fa8b177792e