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Title: | BioStructMap: A Python tool for integration of protein structure and sequence-based features. | Austin Authors: | Guy, Andrew J;Irani, Vashti;Richards, Jack S;Ramsland, Paul A | Affiliation: | Life Sciences, Burnet Institute, Melbourne, Australia Departments of Immunology, Monash University, Melbourne, Australia Departments of Medicine, University of Melbourne, Melbourne, Australia Infectious Diseases, Monash University, Melbourne, Australia Victorian Infectious Diseases Service, Royal Melbourne Hospital, Melbourne, Australia Surgery Austin Health, University of Melbourne, Melbourne, Australia School of Science, RMIT University, Bundoora, Australia |
Issue Date: | 21-Jun-2018 | Date: | 2018-06-21 | Publication information: | Bioinformatics (Oxford, England) 2018; 34(22): 3942-3944 | 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. | URI: | https://ahro.austin.org.au/austinjspui/handle/1/18151 | DOI: | 10.1093/bioinformatics/bty474 | ORCID: | 0000-0002-2107-2738 | Journal: | Bioinformatics (Oxford, England) | PubMed URL: | 29931276 | Type: | Journal Article |
Appears in Collections: | Journal articles |
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