Abstract

Over the past 12 years we have developed and populated a biological pathway knowledgebase and con- structed tools for browsing and mining our content, analyzing user data, and integrating pathway data with other data resources. We are uniquely positioned to move forward into the new world of highly integrated, cost-effective bioinformatics, serving experimental and computational biologists in basic, translational, and clinical research settings.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Biotechnology Resource Cooperative Agreements (U41)
Project #
5U41HG003751-14
Application #
10111540
Study Section
National Human Genome Research Institute Initial Review Group (GNOM)
Project Start
2007-04-01
Project End
2022-02-28
Budget Start
2021-03-01
Budget End
2022-02-28
Support Year
14
Fiscal Year
2021
Total Cost
Indirect Cost

  Institution

Name
Ontario Institute for Cancer Research
Department
Type
DUNS #
205540219
City
Toronto
State
ON
Country
Canada
Zip Code
M5 0A3

  Publications

Tello-Ruiz, Marcela K; Naithani, Sushma; Stein, Joshua C et al. (2018) Gramene 2018: unifying comparative genomics and pathway resources for plant research. Nucleic Acids Res 46:D1181-D1189
Jupe, Steve; Ray, Keith; Roca, Corina Duenas et al. (2018) Interleukins and their signaling pathways in the Reactome biological pathway database. J Allergy Clin Immunol 141:1411-1416
Baaten, Constance C F M J; Meacham, Stuart; de Witt, Susanne M et al. (2018) A synthesis approach of mouse studies to identify genes and proteins in arterial thrombosis and bleeding. Blood 132:e35-e46
Ping, Peipei; Hermjakob, Henning; Polson, Jennifer S et al. (2018) Biomedical Informatics on the Cloud: A Treasure Hunt for Advancing Cardiovascular Medicine. Circ Res 122:1290-1301
Fabregat, Antonio; Jupe, Steven; Matthews, Lisa et al. (2018) The Reactome Pathway Knowledgebase. Nucleic Acids Res 46:D649-D655
Fabregat, Antonio; Korninger, Florian; Viteri, Guilherme et al. (2018) Reactome graph database: Efficient access to complex pathway data. PLoS Comput Biol 14:e1005968
Sanati, Nasim; Iancu, Ovidiu D; Wu, Guanming et al. (2018) Network-Based Predictors of Progression in Head and Neck Squamous Cell Carcinoma. Front Genet 9:183
Fabregat, Antonio; Sidiropoulos, Konstantinos; Viteri, Guilherme et al. (2018) Reactome diagram viewer: data structures and strategies to boost performance. Bioinformatics 34:1208-1214
Naithani, Sushma; Preece, Justin; D'Eustachio, Peter et al. (2017) Plant Reactome: a resource for plant pathways and comparative analysis. Nucleic Acids Res 45:D1029-D1039
Sidiropoulos, Konstantinos; Viteri, Guilherme; Sevilla, Cristoffer et al. (2017) Reactome enhanced pathway visualization. Bioinformatics 33:3461-3467

Showing the most recent 10 out of 41 publications