Skip Navigation



Bioinformatics Advance Access published online on January 3, 2008
Bioinformatics, doi:10.1093/bioinformatics/btm602
This Article
Right arrow Advance Access manuscript (PDF) Freely available
Right arrow All Versions of this Article:
24/3/450    most recent
btm602v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
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 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 arrowRequest Permissions
Google Scholar
Right arrow Articles by Alterovitz, G.
Right arrow Articles by Ramoni, M. F.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Alterovitz, G.
Right arrow Articles by Ramoni, M. F.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author (2008). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Automated Programming for Bioinformatics Algorithm Deployment

Gil Alterovitz 1,2,3,*, Adnaan Jiwaji 2 and Marco F. Ramoni 1,3

1Children's Hospital Informatics Program at the Division of Health Science and Technology, Harvard University and Massachusetts Institute of Technology, Boston, USA, 2Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, and 3Harvard Partners Center for Genetics and Genomics, Harvard Medical School, Boston, USA.

*To whom correspondence should be addressed. Dr. Gil Alterovitz, E-mail: gil{at}mit.edu


  Abstract

Summary: Many bioinformatics solutions suffer from the lack of usable interface/platform from which results can be analyzed and visualized. Overcoming this hurdle would allow for more widespread dissemination of bioinformatics algorithms within the biological and medical communities. The algorithms should be accessible without extensive technical support or programming knowledge. Here, we propose is a dynamic wizard platform that provides users with a Graphical User Interface (GUI) for most Java bioinformatics library toolkits. The application interface is generated in real-time based on the original source code. This platform lets developers focus on designing algorithms and biologists/physicians on testing hypotheses and analyzing results.

Availability: The open source code can be downloaded from: http://bcl.med.harvard.edu/proteomics/proj/AP/

Contact: gil{at}mit.edu

Associate Editor: Dr. Chris Stoeckert

Received on July 28, 2007; revised on December 1, 2007; accepted on December 1, 2007

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




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.