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dc.contributor.authorHaider, Syeden
dc.contributor.authorLipinszki, Zoltanen
dc.contributor.authorPrzewloka, Marcinen
dc.contributor.authorLadak, Yaseenen
dc.contributor.authorD’Avino, Pier Paoloen
dc.contributor.authorKimata, Yuuen
dc.contributor.authorLio’, Pietroen
dc.contributor.authorGlover, Daviden
dc.date.accessioned2015-09-22T09:21:42Z
dc.date.available2015-09-22T09:21:42Z
dc.date.issued2015-09-24en
dc.identifier.citationHaider et al. BioData Mining (2015) Vol. 8:30. doi: 10.1186/s13040-015-0063-3en
dc.identifier.issn1756-0381
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/251097
dc.description.abstractBackground The identification of interaction networks between proteins and complexes holds the promise of offering novel insights into the molecular mechanisms that regulate many biological processes. With increasing volumes of such datasets, especially in model organisms such as Drosophila melanogaster, there exists pressing need for specialised tools, which can seamlessly collect, integrate and analyse these data. Here we describe a database and mining tool for protein-protein interactions (DAPPER), developed as a rich resource for studying multi-protein complexes in Drosophila melanogaster. Results This proteomics database is compiled through mass spectrometric analyses of many protein complexes affinity purified from Drosophila tissues and cultured cells. The web access to DAPPER is provided via an accelerated version of BioMart software enabling data-mining through customised querying and output formats. The protein-protein interaction dataset is annotated with FlyBase identifiers, and further linked to the Ensembl database using BioMart’s data-federation model, thereby enabling complex multi-dataset queries. DAPPER is open source, with all its contents and source code are freely available. Conclusions DAPPER offers an easy-to-navigate and extensible platform for real-time integration of diverse resources containing new and existing protein-protein interaction datasets of Drosophila melanogaster.
dc.description.sponsorshipThis work was supported financially by grants from the Cancer Research UK (CRUK), the Biotechnology and Biological Sciences Research Council and the Medical Research Council to DMG (C3/A11431, BB/I013938/1, G1001696), by a Cancer Research UK Career Development Fellowship to YK (C40697/A12874), and by Cancer Research UK grants to PPD (C12296/A8039 and C12296/A12541). ZL is on leave from the Biological Research Centre of the Hungarian Academy of Sciences (Institute of Biochemistry, Szeged, Hungary) and was supported by a Long-Term Fellowship of the Federation of European Biochemical Societies (FEBS).
dc.languageEnglishen
dc.language.isoenen
dc.publisherBioMed Central
dc.rightsAttribution 2.0 UK: England & Wales*
dc.rights.urihttp://creativecommons.org/licenses/by/2.0/uk/*
dc.subjectproteomics data miningen
dc.subjectprotein-protein interactionsen
dc.subjectprotein complexesen
dc.subjectmass spectrometryen
dc.subjectdata-integrationen
dc.subjectDrosophila melanogasteren
dc.titleDAPPER: A data-mining resource for protein-protein interactionsen
dc.typeArticle
dc.description.versionThis is the final version of the article. It first appeared from BioMed Central via http://dx.doi.org/10.1186/s13040-015-0063-3en
prism.number30en
prism.publicationDate2015en
prism.publicationNameBioData Miningen
prism.volume8en
dc.rioxxterms.funderCRUK
dc.rioxxterms.funderBBSRC
dc.rioxxterms.funderMRC
dc.rioxxterms.projectidC3/A11431
dc.rioxxterms.projectidBB/I013938/1
dc.rioxxterms.projectidG1001696
dc.rioxxterms.projectidC40697/A12874
dc.rioxxterms.projectidC12296/A8039
dc.rioxxterms.projectidC12296/A12541
dcterms.dateAccepted2015-09-16en
rioxxterms.versionofrecord10.1186/s13040-015-0063-3en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2015-09-24en
dc.contributor.orcidPrzewloka, Marcin [0000-0002-0329-9162]
dc.contributor.orcidKimata, Yuu [0000-0001-6223-1320]
dc.contributor.orcidGlover, David [0000-0003-0956-0103]
dc.identifier.eissn1756-0381
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idBBSRC (BB/I013938/1)
pubs.funder-project-idMRC (G1001696)
pubs.funder-project-idCancer Research UK (12874)
pubs.funder-project-idCancer Research UK (A8039)
pubs.funder-project-idCancer Research UK (11431)


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Attribution 2.0 UK: England & Wales
Except where otherwise noted, this item's licence is described as Attribution 2.0 UK: England & Wales