Title :
Scientific workflows to support in silico modeling in cancer research
Author :
Sfakianakis, S. ; Sakkalis, Vangelis ; Marias, Kostas
Author_Institution :
Comput. Med. Lab., Inst. of Comput. Sci., Vassilika Vouton, Greece
Abstract :
In order to deal with the inherent complexity in cancer new computational models are being developed to aid both biological discovery and clinical medicine. The development of these in silico models is facilitated by rapidly advancing experimental and analytical tools that generate information-rich, high-throughput biological data. In this paper we propose the use of the scientific workflows for the integration of multilevel in silico models and we describe a technical infrastructure built on state of the art web technologies for the implementation of these workflows.
Keywords :
Internet; Web design; biomedical communication; cancer; data flow computing; medical computing; medical information systems; programming languages; software architecture; workflow management software; analytical tools; biological discovery; cancer research; clinical medicine; computational models; experimental tools; in silico modeling; scientific workflows; technical infrastructure; web technologies; Biological system modeling; Cancer; Computational modeling; Data models; Engines; Mathematical model; Tumors;
Conference_Titel :
In Silico Oncology and Cancer Investigation - The TUMOR Project Workshop (IARWISOCI), 2012 5th International Advanced Research Workshop on
Conference_Location :
Athens
Print_ISBN :
978-1-4673-5024-2
