Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/18151
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dc.contributor.authorGuy, Andrew J-
dc.contributor.authorIrani, Vashti-
dc.contributor.authorRichards, Jack S-
dc.contributor.authorRamsland, Paul A-
dc.date2018-06-21-
dc.date.accessioned2018-08-07T06:34:45Z-
dc.date.available2018-08-07T06:34:45Z-
dc.date.issued2018-06-21-
dc.identifier.citationBioinformatics (Oxford, England) 2018; 34(22): 3942-3944-
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/18151-
dc.description.abstractA sliding window analysis over a protein or genomic sequence is commonly performed, and we present a Python tool, BioStructMap, that extends this concept to three-dimensional (3D) space, allowing the application of a 3D sliding window analysis over a protein structure. BioStructMap is easily extensible, allowing the user to apply custom functions to spatially aggregated data. BioStructMap also allows mapping of underlying genomic sequences to protein structures, allowing the user to perform genetic-based analysis over spatially linked codons-this has applications when selection pressures arise at the level of protein structure. The Python BioStructMap package is available at https://github.com/andrewguy/biostructmap and released under the MIT License. An online server implementing standard functionality is available at https://biostructmap.burnet.edu.au. Supplementary data are available at Bioinformatics online.-
dc.language.isoeng-
dc.titleBioStructMap: A Python tool for integration of protein structure and sequence-based features.-
dc.typeJournal Article-
dc.identifier.journaltitleBioinformatics (Oxford, England)-
dc.identifier.affiliationLife Sciences, Burnet Institute, Melbourne, Australia-
dc.identifier.affiliationDepartments of Immunology, Monash University, Melbourne, Australia-
dc.identifier.affiliationDepartments of Medicine, University of Melbourne, Melbourne, Australia-
dc.identifier.affiliationInfectious Diseases, Monash University, Melbourne, Australia-
dc.identifier.affiliationVictorian Infectious Diseases Service, Royal Melbourne Hospital, Melbourne, Australia-
dc.identifier.affiliationSurgery Austin Health, University of Melbourne, Melbourne, Australia-
dc.identifier.affiliationSchool of Science, RMIT University, Bundoora, Australia-
dc.identifier.doi10.1093/bioinformatics/bty474-
dc.identifier.orcid0000-0002-2107-2738-
dc.identifier.pubmedid29931276-
dc.type.austinJournal Article-
local.name.researcherRamsland, Paul A
item.openairetypeJournal Article-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
crisitem.author.deptSurgery (University of Melbourne)-
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