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dc.contributor.authorAkune, Yukie
dc.contributor.authorArpinar, Sena
dc.contributor.authorSilva, Lisete M.
dc.contributor.authorPalma, Angelina S.
dc.contributor.authorTajadura-Ortega, Virginia
dc.contributor.authorAoki-Kinoshita, Kiyoko F.
dc.contributor.authorRanzinger, Rene
dc.contributor.authorLiu, Yan
dc.contributor.authorFeizi, Ten
dc.contributor.institutionUCIBIO - Applied Molecular Biosciences Unit
dc.contributor.institutionDQ - Departamento de Química
dc.contributor.pblOxford University Press
dc.date.accessioned2023-03-21T22:28:39Z
dc.date.available2023-03-21T22:28:39Z
dc.date.issued2022-07
dc.descriptionPublisher Copyright: © 2022 The Author(s) 2022. Published by Oxford University Press. This project is supported by Wellcome Trust Biomedical Resource grants (WT099197/Z/12/Z, 108430/Z/15/Z and 218304/Z/19/Z); March of Dimes European Prematurity Research Centre grant 22-FY18-82 and NIH Commons Fund 1U01GM125267-01.
dc.description.abstractGlycan microarrays are essential tools in glycobiology and are being widely used for assignment of glycan ligands in diverse glycan recognition systems. We have developed a new software, called Carbohydrate microArray Analysis and Reporting Tool (CarbArrayART), to address the need for a distributable application for glycan microarray data management. The main features of CarbArrayART include: (i) Storage of quantified array data from different array layouts with scan data and array-specific metadata, such as lists of arrayed glycans, array geometry, information on glycan-binding samples, and experimental protocols. (ii) Presentation of microarray data as charts, tables, and heatmaps derived from the average fluorescence intensity values that are calculated based on the imaging scan data and array geometry, as well as filtering and sorting functions according to monosaccharide content and glycan sequences. (iii) Data export for reporting in Word, PDF, and Excel formats, together with metadata that are compliant with the guidelines of MIRAGE (Minimum Information Required for A Glycomics Experiment). CarbArrayART is designed for routine use in recording, storage, and management of any slide-based glycan microarray experiment. In conjunction with the MIRAGE guidelines, CarbArrayART addresses issues that are critical for glycobiology, namely, clarity of data for evaluation of reproducibility and validity.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent4
dc.format.extent595628
dc.identifier.doi10.1093/glycob/cwac018
dc.identifier.issn0959-6658
dc.identifier.otherPURE: 56525431
dc.identifier.otherPURE UUID: f13bcefe-2ce0-4846-b890-ebe6737984ce
dc.identifier.otherScopus: 85131903191
dc.identifier.otherPubMed: 35352122
dc.identifier.otherPubMedCentral: PMC9191619
dc.identifier.otherWOS: 000812827400002
dc.identifier.otherORCID: /0000-0001-5797-6555/work/131320351
dc.identifier.urihttp://hdl.handle.net/10362/151031
dc.identifier.urlhttps://www.scopus.com/pages/publications/85131903191
dc.language.isoeng
dc.peerreviewedyes
dc.subjectglycan microarray data management
dc.subjectglycan microarray data presentation
dc.subjectglycan microarray data storage
dc.subjectglycan microarray software
dc.subjectglycoinformatics
dc.subjectBiochemistry
dc.titleCarbArrayARTen
dc.title.subtitleA new software tool for carbohydrate microarray data storage, processing, presentation, and reportingen
dc.typejournal article
degois.publication.firstPage552
degois.publication.issue7
degois.publication.lastPage555
degois.publication.titleGlycobiology
degois.publication.volume32
dspace.entity.typePublication
rcaap.rightsopenAccess

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