Please use this identifier to cite or link to this item: https://doi.org/10.1002/pmic.200500378
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dc.titleSPLASH: Systematic proteomics laboratory analysis and storage hub
dc.contributor.authorLo, S.L.
dc.contributor.authorYou, T.
dc.contributor.authorLin, Q.
dc.contributor.authorJoshi, S.B.
dc.contributor.authorChung, M.C.M.
dc.contributor.authorHew, C.L.
dc.date.accessioned2014-10-27T08:40:12Z
dc.date.available2014-10-27T08:40:12Z
dc.date.issued2006-03
dc.identifier.citationLo, S.L., You, T., Lin, Q., Joshi, S.B., Chung, M.C.M., Hew, C.L. (2006-03). SPLASH: Systematic proteomics laboratory analysis and storage hub. Proteomics 6 (6) : 1758-1769. ScholarBank@NUS Repository. https://doi.org/10.1002/pmic.200500378
dc.identifier.issn16159853
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/101715
dc.description.abstractIn the field of proteomics, the increasing difficulty to unify the data format, due to the different platforms/instrumentation and laboratory documentation systems, greatly hinders experimental data verification, exchange, and comparison. Therefore, it is essential to establish standard formats for every necessary aspect of proteomics data. One of the recently published data models is the proteomics experiment data repository [Taylor, C. F., Paton, N. W., Garwood, K. L., Kirby, P. D. et al., Nat. Biotechnol. 2003, 21, 247-254]. Compliant with this format, we developed the systematic proteomics laboratory analysis and storage hub (SPLASH) database system as an informatics infrastructure to support proteomics studies. It consists of three modules and provides proteomics researchers a common platform to store, manage, search, analyze, and exchange their data. (i) Data maintenance includes experimental data entry and update, uploading of experimental results in batch mode, and data exchange in the original PEDRo format. (ii) The data search module provides several means to search the database, to view either the protein information or the differential expression display by clicking on a gel image. (iii) The data mining module contains tools that perform biochemical pathway, statistics-associated gene ontology, and other comparative analyses for all the sample sets to interpret its biological meaning. These features make SPLASH a practical and powerful tool for the proteomics community. © 2006 Wiley-VCH Verlag GmbH & Co. KGaA.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1002/pmic.200500378
dc.sourceScopus
dc.subjectDatabase
dc.subjectPEDRo
dc.subjectProteomics data exchange
dc.subjectProteomics data mining
dc.subjectXML
dc.typeArticle
dc.contributor.departmentBIOLOGICAL SCIENCES
dc.description.doi10.1002/pmic.200500378
dc.description.sourcetitleProteomics
dc.description.volume6
dc.description.issue6
dc.description.page1758-1769
dc.description.codenPROTC
dc.identifier.isiut000236420600009
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