Workflow based framework for life science informatics-Citations
Top 3 hottest article in CBAC
Workflow technology is a generic mechanism to integrate diverse types of available resources (databases, servers, software applications and different services) which facilitate knowledge exchange within traditionally divergent fields such as molecular biology, clinical research, computational science, physics, chemistry and statistics. Researchers can easily incorporate and access diverse, distributed tools and data to develop their own research protocols for scientific analysis. Application of workflow technology has been reported in areas like drug discovery, genomics, large-scale gene expression analysis, proteomics, and system biology. In this article, we have discussed the existing workflow systems and the trends in applications of workflow based systems.
Keywords: Workflow technology; Data pipelining; Data streaming; Visual programming; Ontology; Semantic web; Web services; Grid services
Citation:
Workflow based framework for life science informatics
• Review article
Computational Biology and Chemistry, Volume 31, Issue 5-6, 1 October 2007, Pages 305-319
Tiwari, A.; Sekhar, A.K.T.
Cited by:
- An integrative analysis platform for multiple neural spike train data. Huang, Y., Li, X., Li, Y., Xu, Q., Lu, Q., Liu, Q. (2008), Journal of Neuroscience Methods 172 (2), pp. 303-311
- Scientific workflows as productivity tools for drug discovery. Shon, J., Ohkawa, H., Hammer, J. (2008), Current Opinion in Drug Discovery and Development 11 (3), pp. 381-388
- Workflow Technology for Drug discovery. Luo, L., Zhang, R., Zhang, C., Fan, X., Li, L. (2008), The 3rd International Conference on Grid and Pervasive Computing (25-28 May 2008), pp. 69 - 74 [ IEEE journals]
- Addressing informatics challenges in Translational Research with workflow technology. Beaulah, S.A., Correll, M., Munro, R., Sheldon, J.(2008), Drug Discov Today. 2008 Jul 7; [Epub ahead of print]
- Exploring cohesion, flexibility, communication overhead and distribution for Web services interfaces in computational science. Sicilia, M.A., Rodriguez, D. (2008), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5103 LNCS (PART 3), pp. 368-375
