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ProtVista: visualization of protein sequence annotations
Summary: ProtVista is a comprehensive visualization tool for the graphical representation of protein sequence features in the UniProt Knowledgebase, experimental proteomics and variation public datasets. The complexity and relationships in this wealth of data pose a challenge in interpretation. Inte...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963392/ https://www.ncbi.nlm.nih.gov/pubmed/28334231 http://dx.doi.org/10.1093/bioinformatics/btx120 |
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author | Watkins, Xavier Garcia, Leyla J. Pundir, Sangya Martin, Maria J. |
author_facet | Watkins, Xavier Garcia, Leyla J. Pundir, Sangya Martin, Maria J. |
author_sort | Watkins, Xavier |
collection | PubMed |
description | Summary: ProtVista is a comprehensive visualization tool for the graphical representation of protein sequence features in the UniProt Knowledgebase, experimental proteomics and variation public datasets. The complexity and relationships in this wealth of data pose a challenge in interpretation. Integrative visualization approaches such as provided by ProtVista are thus essential for researchers to understand the data and, for instance, discover patterns affecting function and disease associations. Availability and Implementation: ProtVista is a JavaScript component released as an open source project under the Apache 2 License. Documentation and source code are available at http://ebi-uniprot.github.io/ProtVista/. Contact: martin@ebi.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-5963392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-59633922018-06-04 ProtVista: visualization of protein sequence annotations Watkins, Xavier Garcia, Leyla J. Pundir, Sangya Martin, Maria J. Bioinformatics Applications Notes Summary: ProtVista is a comprehensive visualization tool for the graphical representation of protein sequence features in the UniProt Knowledgebase, experimental proteomics and variation public datasets. The complexity and relationships in this wealth of data pose a challenge in interpretation. Integrative visualization approaches such as provided by ProtVista are thus essential for researchers to understand the data and, for instance, discover patterns affecting function and disease associations. Availability and Implementation: ProtVista is a JavaScript component released as an open source project under the Apache 2 License. Documentation and source code are available at http://ebi-uniprot.github.io/ProtVista/. Contact: martin@ebi.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-07-01 2017-03-07 /pmc/articles/PMC5963392/ /pubmed/28334231 http://dx.doi.org/10.1093/bioinformatics/btx120 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Watkins, Xavier Garcia, Leyla J. Pundir, Sangya Martin, Maria J. ProtVista: visualization of protein sequence annotations |
title | ProtVista: visualization of protein sequence annotations |
title_full | ProtVista: visualization of protein sequence annotations |
title_fullStr | ProtVista: visualization of protein sequence annotations |
title_full_unstemmed | ProtVista: visualization of protein sequence annotations |
title_short | ProtVista: visualization of protein sequence annotations |
title_sort | protvista: visualization of protein sequence annotations |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963392/ https://www.ncbi.nlm.nih.gov/pubmed/28334231 http://dx.doi.org/10.1093/bioinformatics/btx120 |
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