Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/161036
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dc.contributor.authorLim, Peng Kenen_US
dc.contributor.authorZheng, Xinghaien_US
dc.contributor.authorGoh, Jong Chingen_US
dc.contributor.authorMutwil, Mareken_US
dc.date.accessioned2022-08-12T05:04:30Z-
dc.date.available2022-08-12T05:04:30Z-
dc.date.issued2022-
dc.identifier.citationLim, P. K., Zheng, X., Goh, J. C. & Mutwil, M. (2022). Exploiting plant transcriptomic databases: resources, tools, and approaches. Plant Communications, 3(4), 100323-. https://dx.doi.org/10.1016/j.xplc.2022.100323en_US
dc.identifier.issn2590-3462en_US
dc.identifier.urihttps://hdl.handle.net/10356/161036-
dc.description.abstractThere are now more than 300 000 RNA sequencing samples available, stemming from thousands of experiments capturing gene expression in organs, tissues, developmental stages, and experimental treatments for hundreds of plant species. The expression data have great value, as they can be re-analyzed by others to ask and answer questions that go beyond the aims of the study that generated the data. Because gene expression provides essential clues to where and when a gene is active, the data provide powerful tools for predicting gene function, and comparative analyses allow us to study plant evolution from a new perspective. This review describes how we can gain new knowledge from gene expression profiles, expression specificities, co-expression networks, differential gene expression, and experiment correlation. We also introduce and demonstrate databases that provide user-friendly access to these tools.en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.description.sponsorshipSingapore Food Agencyen_US
dc.language.isoenen_US
dc.relationMOE2018-T2-2-053en_US
dc.relationSFS-RND-SUFP-001-05en_US
dc.relation.ispartofPlant Communicationsen_US
dc.rights© 2022 The Author(s). Published by the Plant Communications Shanghai Editorial Office in association with Cell Press, an imprint of Elsevier Inc., on behalf of CSPB and CEMPS, CAS. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.subjectScience::Biological sciencesen_US
dc.titleExploiting plant transcriptomic databases: resources, tools, and approachesen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Biological Sciencesen_US
dc.identifier.doi10.1016/j.xplc.2022.100323-
dc.description.versionPublished versionen_US
dc.identifier.pmid35605200-
dc.identifier.scopus2-s2.0-85129566821-
dc.identifier.issue4en_US
dc.identifier.volume3en_US
dc.identifier.spage100323en_US
dc.subject.keywordsGene Expressionen_US
dc.subject.keywordsComparative Transcriptomicsen_US
dc.description.acknowledgementThis review was supported by a Singapore Ministry of Education tier-two grant (MOE2018-T2-2-053) and a Singapore Food Agency grant (SFS_RND_SUFP_001_05).en_US
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