Please use this identifier to cite or link to this item:
https://ahro.austin.org.au/austinjspui/handle/1/18151
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Guy, Andrew J | - |
dc.contributor.author | Irani, Vashti | - |
dc.contributor.author | Richards, Jack S | - |
dc.contributor.author | Ramsland, Paul A | - |
dc.date | 2018-06-21 | - |
dc.date.accessioned | 2018-08-07T06:34:45Z | - |
dc.date.available | 2018-08-07T06:34:45Z | - |
dc.date.issued | 2018-06-21 | - |
dc.identifier.citation | Bioinformatics (Oxford, England) 2018; 34(22): 3942-3944 | - |
dc.identifier.uri | https://ahro.austin.org.au/austinjspui/handle/1/18151 | - |
dc.description.abstract | A 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.iso | eng | - |
dc.title | BioStructMap: A Python tool for integration of protein structure and sequence-based features. | - |
dc.type | Journal Article | - |
dc.identifier.journaltitle | Bioinformatics (Oxford, England) | - |
dc.identifier.affiliation | Life Sciences, Burnet Institute, Melbourne, Australia | - |
dc.identifier.affiliation | Departments of Immunology, Monash University, Melbourne, Australia | - |
dc.identifier.affiliation | Departments of Medicine, University of Melbourne, Melbourne, Australia | - |
dc.identifier.affiliation | Infectious Diseases, Monash University, Melbourne, Australia | - |
dc.identifier.affiliation | Victorian Infectious Diseases Service, Royal Melbourne Hospital, Melbourne, Australia | - |
dc.identifier.affiliation | Surgery Austin Health, University of Melbourne, Melbourne, Australia | - |
dc.identifier.affiliation | School of Science, RMIT University, Bundoora, Australia | - |
dc.identifier.doi | 10.1093/bioinformatics/bty474 | - |
dc.identifier.orcid | 0000-0002-2107-2738 | - |
dc.identifier.pubmedid | 29931276 | - |
dc.type.austin | Journal Article | - |
local.name.researcher | Ramsland, Paul A | |
item.openairetype | Journal Article | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | Surgery (University of Melbourne) | - |
Appears in Collections: | Journal articles |
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