title: A system for exploring and visualizing biological pathways from large scale datasets.
abstract: 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.
authors.affiliation: Department of Computer Information Technology, Purdue University Calumet, Hammond, IN 46323, USA. jiang@calumet.purdue.edu
authors.forename: Keyuan
authors.initials: K
authors.lastname: Jiang
authors.forename: Joseph
authors.initials: J
authors.lastname: Robertson
mesh_terms: 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