Skip Navigation


Bioinformatics Advance Access originally published online on February 15, 2006
Bioinformatics 2006 22(9):1137-1143; doi:10.1093/bioinformatics/btl054
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow All Versions of this Article:
22/9/1137    most recent
btl054v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (1)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Radetzki, U.
Right arrow Articles by Cremers, A. B.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Radetzki, U.
Right arrow Articles by Cremers, A. B.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2006. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Adapters, shims, and glue—service interoperability for in silico experiments

U. Radetzki 1,*, U. Leser 2, S. C. Schulze-Rauschenbach 3, J. Zimmermann 1, J. Lüssem 1, T. Bode 1 and A. B. Cremers 1

1 Department of Computer Science, University of Bonn D-53117 Bonn, Germany
2 Department of Computer Science, Humboldt-Universität Berlin D-10099 Berlin, Germany
3 Clinic for Psychiatry and Psychotherapy, University of Bonn Medical Center D-53105 Bonn, Germany

*To whom correspondence should be addressed.

Motivation: Computationally, in silico experiments in biology are workflows describing the collaboration of people, data and methods. The Grid and Web services are proposed to be the next generation infrastructure supporting the deployment of bioinformatics workflows. But the growing number of autonomous and heterogeneous services pose challenges to the used middleware w.r.t. composition, i.e. discovery and interoperability of services required within in silico experiments. In the IRIS project, we handle the problem of service interoperability by a semi-automatic procedure for identifying and placing customizable adapters into workflows built by service composition.

Results: We show the effectiveness and robustness of the software-aided composition procedure by a case study in the field of life science. In this study we combine different database services with different analysis services with the objective of discovering required adapters. Our experiments show that we can identify relevant adapters with high precision and recall.

Availability: The IRIS software and the profile language can be downloaded from http://www.cs.uni-bonn.de/III/bio/iris

Contact: ur{at}iai.uni-bonn.de


Received on October 20, 2005; revised on February 9, 2006; accepted on February 9, 2006

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
Brief BioinformHome page
P. Romano
Automation of in-silico data analysis processes through workflow management systems
Brief Bioinform, January 1, 2008; 9(1): 57 - 68.
[Abstract] [Full Text] [PDF]



Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.