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The Reactome Pathway Knowledgebase

delete2017-11-14
delete1.8K
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OA
AI
A
Antonio Fabregat
S
S Jupe
L
Lisa Matthews
K
Konstantinos Sidiropoulos
M
Marc Gillespie
P
Phani Garapati
R
Robin Haw
B
Bijay Jassal
F
Florian Korninger
B
Bruce May
M
M Orlic-Milacic
C
Corina Duenas Roca
K
Karen Rothfels
C
Cristoffer Sevilla
V
Veronica Shamovsky
S
Solomon I. Shorser
T
Thawfeek Varusai
G
Guilherme Viteri
J
Joel Weiser
G
Guanming Wu *
L
Lincoln Stein *
H
Henning Hermjakob *
P
Peter D’Eustachio *
DOI:10.1093/nar/gkx1132delete
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Abstract

Abstract

En 中文
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.
Keywords:
ONTOLOGY
DATABASE
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Journal

Nucleic Acids Research cover
Nucleic Acids Research
IF:
13.1
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3.6W
Citations:
29.0W

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E
european molecular biology laboratory (embl)
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O
Oregon Health & Science University
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Ontario Institute for Cancer Research
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university of toronto
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