A system for exploring and visualizing biological pathways from large scale datasets.
The growing accumulation of biological pathway datasets is making it possible to study pathways at genomic scale by exploration and visualization, facilitating the shift of biomedical research to systems-level analyses. Presented in this paper is our ongoing work on developing a system for exploring and visualizing biological pathways for large scale pathway analyses. A pathway repository with a standard data format was developed for storing various types of pathways, mechanisms for navigating among different pathway datasets and to external data sources were also designed, and a rendering engine is being developed to allow user for visualization and exploration.
Jiang
Keyuan
K
Department of Computer Information Technology, Purdue University Calumet, Hammond, IN 46323, USA. jiang@calumet.purdue.edu
Robertson
Joseph
J
D000465:Algorithms; D000818:Animals; D003627:Data Interpretation, Statistical; D003628:Database Management Systems; D016208:Databases, Factual; D030541:Databases, Genetic; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods; D008660:Metabolism / Q000235:genetics / Q000502:physiology*; D008954:Models, Biological; D012984:Software; D012985:Software Design; D018511:Systems Integration; D014584:User-Computer Interface