On the use of agents in a BioInformatics grid

Semantically Linking and Browsing Provenance Logs for E-science

“…Biologists are familiar with the notion of query by navigation. Their standard way of interconnecting data sources is through web browsers and point and click navigation [5]. We emulate this by providing a browser-based navigation experience through a provenance document collection.…”

Retraction: Changing from computing grid to knowledge grid in life‐science grid

“…Further, it consists of member data nodes that are connected to one another in a peer-to-peer fashion such that each member is aware of the availability of every other member at any time [70,73]. The distributed cache API presents the entire distributed system as if it were just one logical cache totally abstracting the actual location of the data or the data source from the developer.…”

“…With rapid increase in the bio-medical research and diagnosis, the need for high-speed technology for accurate measuring, processing and analysis of the images have increased. Analysis of gene and protein expressions, cancer mutations, predicting the protein structure, measuring bio-diversity, building computational models for molecular modeling and modeling of biological systems etc are the areas, which present the challenges of faster distribution, availability and requirement of expensive highspeed computing tools [66,[70][71][72][73].…”

Identification of Relevant Genes with a Multi-Agent System using Gene Expression Data

“…The complexity of required systems offers an advantage to an architecture that can distribute tasks to specialized agents. Recently, there has been some agent-based systems to tackle the complexity of bioinformatics systems (Karasavvas, 2004;Keele, 2005;Lam, 2006;Luck, 2005;Moreau, 2003;Štiglic, 2004). We distinguish the following basic processes in the microarray analyisis system, that would be better handled by specialized agents: 1.…”