Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Miguel Rojas-Chertó"'
Autor:
Julio E. Peironcely, Albert C. Tas, Rob J. Vreeken, Theo H. Reijmers, Miguel Rojas-Chertó, Leon Coulier, Thomas Hankemeier
Publikováno v:
Analytical Chemistry, 7, 85, 3576-3583
Europe PubMed Central
Europe PubMed Central
Metabolite identification is one of the biggest bottlenecks in metabolomics. Identifying human metabolites poses experimental, analytical, and computational challenges. Here we present a pipeline of previously developed cheminformatic tools and demon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::015460b275cd3201b6fb1e6f28c471bf
http://resolver.tudelft.nl/uuid:820e468e-4c46-4698-9173-cd33fb886674
http://resolver.tudelft.nl/uuid:820e468e-4c46-4698-9173-cd33fb886674
Autor:
Thomas Hankemeier, Michael van Vliet, Miguel Rojas-Chertó, Theo H. Reijmers, Ronnie van Doorn, Maarten Kooyman, Tim A. H. te Beek, Julio E. Peironcely, Marc A. van Driel
Publikováno v:
Europe PubMed Central
Bioinformatics, 20, 28, 2707-2709
Bioinformatics
Bioinformatics, 20, 28, 2707-2709
Bioinformatics
Summary: Identification of metabolites using high-resolution multi-stage mass spectrometry (MSn) data is a significant challenge demanding access to all sorts of computational infrastructures. MetiTree is a user-friendly, web application dedicated to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eac438e668cda82a257290dc4b7efc8e
http://resolver.tudelft.nl/uuid:90cdbdc2-c2ef-4fb9-a6a4-b043e7dd9bc7
http://resolver.tudelft.nl/uuid:90cdbdc2-c2ef-4fb9-a6a4-b043e7dd9bc7
Autor:
Harry Holthöfer, J. van der Greef, Carol Forsblom, Thomas Hankemeier, Ville-Petteri Mäkinen, P. H. Groop, Maud M. Koek, Gerwin Spijksma, F. van der Kloet, N. Ismail, Piotr T. Kasper, R. van Doorn, F. W.A. Tempels, R.W. van der Heijden, Miguel Rojas-Chertó, Theo H. Reijmers
Publikováno v:
Metabolomics, 1, 8, 109-119
Metabolomics, 2012(8), 109-119
Europe PubMed Central
Metabolomics
Metabolomics, 2012(8), 109-119
Europe PubMed Central
Metabolomics
Diabetic kidney disease (DKD) is a devastating complication that affects an estimated third of patients with type 1 diabetes mellitus (DM). There is no cure once the disease is diagnosed, but early treatment at a sub-clinical stage can prevent or at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::257e76ea63677f6a9c1d8f64760d33f4
http://resolver.tudelft.nl/uuid:b53e65d0-ba7c-4dc1-9fcf-9dffa0af44bd
http://resolver.tudelft.nl/uuid:b53e65d0-ba7c-4dc1-9fcf-9dffa0af44bd
Autor:
Piotr T. Kasper, Egon Willighagen, Rob J. Vreeken, Theo H. Reijmers, Thomas Hankemeier, Miguel Rojas-Chertó
Publikováno v:
Bioinformatics, 27(17), 2376-2383. Oxford University Press
Bioinformatics 27 (2011) 17
Bioinformatics, 27(17), 2376-2383
Bioinformatics 27 (2011) 17
Bioinformatics, 27(17), 2376-2383
Motivation: Identification of metabolites is essential for its use as biomarkers, for research in systems biology and for drug discovery. The first step before a structure can be elucidated is to determine its elemental composition. High-resolution m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15358f78afaa87cf3c76de18cba635f0
https://pubmed.ncbi.nlm.nih.gov/21757467
https://pubmed.ncbi.nlm.nih.gov/21757467
Autor:
Theo H. Reijmers, Leon Coulier, Andreas Bender, Miguel Rojas-Chertó, Thomas Hankemeier, Julio E. Peironcely
Publikováno v:
Journal of Cheminformatics
Europe PubMed Central
Journal of Cheminformatics, Vol 2, Iss Suppl 1, p P39 (2010)
Europe PubMed Central
Journal of Cheminformatics, Vol 2, Iss Suppl 1, p P39 (2010)
In metabolomics the identity and role of low mass molecules called metabolites that are produced in cell metabolic processes are investigated. These make them valuable indicators of the phenotype of a biological system. The 'Metabolite Space' is the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c0ec46ee222845be16bb80023701716
http://europepmc.org/articles/PMC2867173
http://europepmc.org/articles/PMC2867173
Autor:
Leon Coulier, Jean-Loup Faulon, Theo H. Reijmers, Miguel Rojas-Chertó, Julio E. Peironcely, Thomas Hankemeier, Davide Fichera
Publikováno v:
Europe PubMed Central
Journal of Cheminformatics
Journal of Cheminformatics, 9, 4
Journal of Cheminformatics, Vol 4, Iss 1, p 21 (2012)
Journal of Cheminformatics
Journal of Cheminformatics, 9, 4
Journal of Cheminformatics, Vol 4, Iss 1, p 21 (2012)
Computer Assisted Structure Elucidation has been used for decades to discover the chemical structure of unknown compounds. In this work we introduce the first open source structure generator, Open Molecule Generator (OMG), which for a given elemental
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0396123b9ed2ea2d51a29f7d74d937d1
http://europepmc.org/abstract/med/22985496
http://europepmc.org/abstract/med/22985496