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dc.contributor.authorPuig-Castellví, Francesces_ES
dc.contributor.authorPérez, Yolandaes_ES
dc.contributor.authorPiña, Benjamines_ES
dc.contributor.authorTauler, Romàes_ES
dc.contributor.authorAlfonso, Ignacioes_ES
dc.date.accessioned2018-07-26T14:13:38Z-
dc.date.available2018-07-26T14:13:38Z-
dc.date.issued2018-01-29-
dc.identifier.citationChemical Communications 54 (25): 3090-3093 (2018)es_ES
dc.identifier.urihttp://hdl.handle.net/10261/167985-
dc.description.abstractWe propose an approach to efficiently compress and denoise multidimensional NMR spectral data, improving their corresponding storage, handling, and analysis. This method has been tested with 2D homonuclear, 2D and 3D heteronuclear, and 2D phase-sensitive NMR spectral data and shown to be especially powerful for 2D NMR metabolomics studies. © The Royal Society of Chemistry.es_ES
dc.language.isoenges_ES
dc.publisherRoyal Society of Chemistry (UK)es_ES
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/320737es_ES
dc.relation.isversionofPostprintes_ES
dc.rightsopenAccessen_EN
dc.subjectAlkanesulfonic Acidses_ES
dc.subjectMagnetic Resonance Spectroscopyes_ES
dc.subjectMetabolo,icses_ES
dc.subjectProteinses_ES
dc.subjectTrimethylsilyl Compoundses_ES
dc.titleCompression of multidimensional NMR spectra allows a faster and more accurate analysis of complex sampleses_ES
dc.typeartículoes_ES
dc.identifier.doi10.1039/c7cc09891j-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversion10.1039/C7CC09891Jes_ES
dc.embargo.terms2019-01-29es_ES
dc.contributor.funderEuropean Research Counciles_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000781es_ES
dc.identifier.pmides_ES
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