BAAQ: An Infrastructure for Application Integration and Knowledge Discovery in Bioinformatics

The emerging grid computing technologies enable bioinformatics scientists to conduct their researches in a virtual laboratory, in which they share public databases, computational tools as well as their analysis workflows. However, the development of grid applications is still a nightmare for general...

Full description

Saved in:
Bibliographic Details
Published in:IEEE journal of biomedical and health informatics 2007-07, Vol.11 (4), p.428-434
Main Authors: Xiujun Gong, Nakamura, K., Hua Yu, Kei Yura, Nobuhiro Go
Format: Article
Language:English
Subjects:
Active solution recommendation (ASR)
Artificial Intelligence
Bioinformatics
Biology computing
Collaborative work
Computational Biology - methods
Construction
Database Management Systems
Databases, Factual
Educational technology
grid application
Grid computing
Health Knowledge, Attitudes, Practice
Information analysis
Information Dissemination - methods
Information Storage and Retrieval - methods
Information systems
Internet
Laboratories
Natural Language Processing
Programming environments
Scientists
Standards development
Stores
Studies
task mapping editor (TME)
User-Computer Interface
Workflow
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The emerging grid computing technologies enable bioinformatics scientists to conduct their researches in a virtual laboratory, in which they share public databases, computational tools as well as their analysis workflows. However, the development of grid applications is still a nightmare for general bioinformatics scientists, due to the lack of grid programming environments, standards and high-level services. Here, we present a system, which we named bioinformatics: ask any questions (BAAQ), to automate this development procedure as much as possible. BAAQ allows scientists to store and manage remote biological data and programs, to build analysis workflows that integrate these resources seamlessly, and to discover knowledge from available resources. This paper addresses two issues in building grid applications in bioinformatics: how to smoothly compose an analysis workflow using heterogeneous resources and how to efficiently discover and re-use available resources in the grid community. Correspondingly an intelligent grid programming environment and an active solution recommendation service are proposed. Finally, we present a case study applying BAAQ to a bioinformatics problem.
ISSN:1089-7771
2168-2194
1558-0032
2168-2208
DOI:10.1109/TITB.2006.888700