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The Reactome Pathway Knowledgebase
The Reactome Knowledgebase (https://reactome.org) provides molecular details of signal transduction, transport, DNA replication, metabolism, and other cellular processes as an ordered network of molecular transformations—an extended version of a classic metabolic map, in a single consistent data mod...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753187/ https://www.ncbi.nlm.nih.gov/pubmed/29145629 http://dx.doi.org/10.1093/nar/gkx1132 |
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author | Fabregat, Antonio Jupe, Steven Matthews, Lisa Sidiropoulos, Konstantinos Gillespie, Marc Garapati, Phani Haw, Robin Jassal, Bijay Korninger, Florian May, Bruce Milacic, Marija Roca, Corina Duenas Rothfels, Karen Sevilla, Cristoffer Shamovsky, Veronica Shorser, Solomon Varusai, Thawfeek Viteri, Guilherme Weiser, Joel Wu, Guanming Stein, Lincoln Hermjakob, Henning D’Eustachio, Peter |
author_facet | Fabregat, Antonio Jupe, Steven Matthews, Lisa Sidiropoulos, Konstantinos Gillespie, Marc Garapati, Phani Haw, Robin Jassal, Bijay Korninger, Florian May, Bruce Milacic, Marija Roca, Corina Duenas Rothfels, Karen Sevilla, Cristoffer Shamovsky, Veronica Shorser, Solomon Varusai, Thawfeek Viteri, Guilherme Weiser, Joel Wu, Guanming Stein, Lincoln Hermjakob, Henning D’Eustachio, Peter |
author_sort | Fabregat, Antonio |
collection | PubMed |
description | The Reactome Knowledgebase (https://reactome.org) provides molecular details of signal transduction, transport, DNA replication, metabolism, and other cellular processes as an ordered network of molecular transformations—an extended version of a classic metabolic map, in a single consistent data model. Reactome functions both as an archive of biological processes and as a tool for discovering unexpected functional relationships in data such as gene expression profiles or somatic mutation catalogues from tumor cells. To support the continued brisk growth in the size and complexity of Reactome, we have implemented a graph database, improved performance of data analysis tools, and designed new data structures and strategies to boost diagram viewer performance. To make our website more accessible to human users, we have improved pathway display and navigation by implementing interactive Enhanced High Level Diagrams (EHLDs) with an associated icon library, and subpathway highlighting and zooming, in a simplified and reorganized web site with adaptive design. To encourage re-use of our content, we have enabled export of pathway diagrams as ‘PowerPoint’ files. |
format | Online Article Text |
id | pubmed-5753187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57531872018-01-05 The Reactome Pathway Knowledgebase Fabregat, Antonio Jupe, Steven Matthews, Lisa Sidiropoulos, Konstantinos Gillespie, Marc Garapati, Phani Haw, Robin Jassal, Bijay Korninger, Florian May, Bruce Milacic, Marija Roca, Corina Duenas Rothfels, Karen Sevilla, Cristoffer Shamovsky, Veronica Shorser, Solomon Varusai, Thawfeek Viteri, Guilherme Weiser, Joel Wu, Guanming Stein, Lincoln Hermjakob, Henning D’Eustachio, Peter Nucleic Acids Res Database Issue The Reactome Knowledgebase (https://reactome.org) provides molecular details of signal transduction, transport, DNA replication, metabolism, and other cellular processes as an ordered network of molecular transformations—an extended version of a classic metabolic map, in a single consistent data model. Reactome functions both as an archive of biological processes and as a tool for discovering unexpected functional relationships in data such as gene expression profiles or somatic mutation catalogues from tumor cells. To support the continued brisk growth in the size and complexity of Reactome, we have implemented a graph database, improved performance of data analysis tools, and designed new data structures and strategies to boost diagram viewer performance. To make our website more accessible to human users, we have improved pathway display and navigation by implementing interactive Enhanced High Level Diagrams (EHLDs) with an associated icon library, and subpathway highlighting and zooming, in a simplified and reorganized web site with adaptive design. To encourage re-use of our content, we have enabled export of pathway diagrams as ‘PowerPoint’ files. Oxford University Press 2018-01-04 2017-11-14 /pmc/articles/PMC5753187/ /pubmed/29145629 http://dx.doi.org/10.1093/nar/gkx1132 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 | Database Issue Fabregat, Antonio Jupe, Steven Matthews, Lisa Sidiropoulos, Konstantinos Gillespie, Marc Garapati, Phani Haw, Robin Jassal, Bijay Korninger, Florian May, Bruce Milacic, Marija Roca, Corina Duenas Rothfels, Karen Sevilla, Cristoffer Shamovsky, Veronica Shorser, Solomon Varusai, Thawfeek Viteri, Guilherme Weiser, Joel Wu, Guanming Stein, Lincoln Hermjakob, Henning D’Eustachio, Peter The Reactome Pathway Knowledgebase |
title | The Reactome Pathway Knowledgebase |
title_full | The Reactome Pathway Knowledgebase |
title_fullStr | The Reactome Pathway Knowledgebase |
title_full_unstemmed | The Reactome Pathway Knowledgebase |
title_short | The Reactome Pathway Knowledgebase |
title_sort | reactome pathway knowledgebase |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753187/ https://www.ncbi.nlm.nih.gov/pubmed/29145629 http://dx.doi.org/10.1093/nar/gkx1132 |
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