Reactome is a free, open-source, curated and peer reviewed pathway database. Our goal is to provide intuitive bioinformatics tools for the visualization, interpretation and analysis of pathway knowledge to support basic research, genome analysis, modeling, systems biology and education. The current version (v56) of Reactome was released on March 24, 2016.

References in zbMATH (referenced in 24 articles )

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  1. Xia, Yin; Cai, Tianxi; Cai, T. Tony: Multiple testing of submatrices of a precision matrix with applications to identification of between pathway interactions (2018)
  2. Shafaghati, Leila; Razaghi-Moghadam, Zahra; Mohammadnejad, Javad: A systems biology approach to understanding alcoholic liver disease molecular mechanism: the development of static and dynamic models (2017)
  3. Weir, William H.; Emmons, Scott; Gibson, Ryan; Taylor, Dane; Mucha, Peter J.: Post-processing partitions to identify domains of modularity optimization (2017)
  4. Han, Sung Won; Zhong, Hua: Estimation of sparse directed acyclic graphs for multivariate counts data (2016)
  5. Indhumathy, M.; Arumugam, S.; Baths, Veeky; Singh, Tarkeshwar: Graph theoretic concepts in the study of biological networks (2016)
  6. Djordjilović, Vera; Chiogna, Monica; Massa, M. Sofia; Romualdi, Chiara: Graphical modeling for gene set analysis: a critical appraisal (2015)
  7. Wang, Zhishi; He, Qiuling; Larget, Bret; Newton, Michael A.: A multi-functional analyzer uses parameter constraints to improve the efficiency of model-based gene-set analysis (2015)
  8. Laurent Gatto, Andy Christoforou: Using R and Bioconductor for proteomics data analysis (2013) arXiv
  9. Konkoli, Zoran: Multiparticle reaction noise characteristics (2011)
  10. Latendresse, Mario; Karp, Peter D.: Web-based metabolic network visualization with a zooming user interface (2011) ioport
  11. Stingo, Francesco C.; Chen, Yian A.; Tadesse, Mahlet G.; Vannucci, Marina: Incorporating biological information into linear models: a Bayesian approach to the selection of pathways and genes (2011)
  12. Baldan, Paolo; Cocco, Nicoletta; Marin, Andrea; Simeoni, Marta: Petri nets for modelling metabolic pathways: a survey (2010)
  13. Doderer, Mark; Yoon, Kihoon; Robbins, Kay A.: SIDEKICK: genomic data driven analysis and decision-making framework (2010) ioport
  14. Fokkens, Like; Botelho, Sandra M. C.; Boekhorst, Jos; Snel, Berend: Enrichment of homologs in insignificant BLAST hits by co-complex network alignment (2010) ioport
  15. Likić, Vladimir A.; McConville, Malcolm J.; Lithgow, Trevor; Bacic, Antony: Systems biology: the next frontier for bioinformatics (2010)
  16. Arakawa, Kazuharu; Tamaki, Satoshi; Kono, Nobuaki; Kido, Nobuhiro; Ikegami, Keita; Ogawa, Ryu; Tomita, Masaru: Genome projector: zoomable genome map with multiple views (2009) ioport
  17. Dogrusöz, Ugur; Cetintas, Ahmet; Demir, Emek; Babur, Ozgun: Algorithms for effective querying of compound graph-based pathway databases (2009) ioport
  18. Ihekwaba, Adaoha E. C.; Nguyen, Phuong T.; Priami, Corrado: Elucidation of functional consequences of signalling pathway interactions (2009) ioport
  19. Matthews, Lisa; Gopinath, Gopal; Gillespie, Marc; Caudy, Michael; Croft, David; De Bono, Bernard; Garapati, Phani; Hemish, Jill; Hermjakob, Henning; Jassal, Bijay; Kanapin, Alexander; Lewis, Suzanna; Mahajan, Shahana; May, Bruce; Schmidt, Esther; Vastrik, Imre; Wu, Guanming; Birney, Ewan; Stein, Lincoln; D’eustachio, Peter: Reactome knowledgebase of human biological pathways and processes (2009) ioport
  20. Qu, Xiaoyan A.; Gudivada, Ranga Chandra; Jegga, Anil G.; Neumann, Eric K.; Aronow, Bruce J.: Inferring novel disease indications for known drugs by semantically linking drug action and disease mechanism relationships (2009) ioport

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