Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/35328
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dc.contributor.authorSkeffington, Alastair W.en_UK
dc.contributor.authorDonath, Andreasen_UK
dc.date.accessioned2023-08-24T00:33:53Z-
dc.date.available2023-08-24T00:33:53Z-
dc.date.issued2020-09-11en_UK
dc.identifier.othere9852en_UK
dc.identifier.urihttp://hdl.handle.net/1893/35328-
dc.description.abstractBiominerals are crucial to the fitness of many organism and studies of the mechanisms of biomineralization are driving research into novel materials. Biomineralization is generally controlled by a matrix of organic molecules including proteins, so proteomic studies of biominerals are important for understanding biomineralization mechanisms. Many such studies identify large numbers of proteins of unknown function, which are often of low sequence complexity and biased in their amino acid composition. A lack of user-friendly tools to find patterns in such sequences and robustly analyse their statistical properties relative to the background proteome means that they are often neglected in follow-up studies. Here we present ProminTools, a user-friendly package for comparison of two sets of protein sequences in terms of their global properties and motif content. Outputs include data tables, graphical summaries in an html file and an R-script as a starting point for data-set specific visualizations. We demonstrate the utility of ProminTools using a previously published shell matrix proteome of the giant limpet Lottia gigantea.en_UK
dc.language.isoenen_UK
dc.publisherPeerJen_UK
dc.relationSkeffington AW & Donath A (2020) ProminTools: shedding light on proteins of unknown function in biomineralization with user friendly tools illustrated using mollusc shell matrix protein sequences. <i>PeerJ</i>, 8, Art. No.: e9852. https://doi.org/10.7717/peerj.9852en_UK
dc.rightsThis is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectGeneral Agricultural and Biological Sciencesen_UK
dc.subjectGeneral Biochemistry, Genetics and Molecular Biologyen_UK
dc.subjectGeneral Medicineen_UK
dc.subjectGeneral Neuroscienceen_UK
dc.titleProminTools: shedding light on proteins of unknown function in biomineralization with user friendly tools illustrated using mollusc shell matrix protein sequencesen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.7717/peerj.9852en_UK
dc.identifier.pmid32974096en_UK
dc.citation.jtitlePeerJen_UK
dc.citation.issn2167-8359en_UK
dc.citation.volume8en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderAlexander von Humboldt Foundationen_UK
dc.author.emailalastair.skeffington@stir.ac.uken_UK
dc.citation.date11/09/2020en_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationMax Planck Institute of Molecular Plant Physiologyen_UK
dc.identifier.isiWOS:000568181700004en_UK
dc.identifier.scopusid2-s2.0-85092766776en_UK
dc.identifier.wtid1914218en_UK
dc.contributor.orcid0000-0002-5645-8120en_UK
dc.date.accepted2020-08-11en_UK
dcterms.dateAccepted2020-08-11en_UK
dc.date.filedepositdate2023-07-04en_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorSkeffington, Alastair W.|0000-0002-5645-8120en_UK
local.rioxx.authorDonath, Andreas|en_UK
local.rioxx.projectProject ID unknown|Alexander von Humboldt Foundation|en_UK
local.rioxx.freetoreaddate2023-07-04en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2023-07-04|en_UK
local.rioxx.filenameSkeffington and Donath 2020.pdfen_UK
local.rioxx.filecount1en_UK
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