Advanced Search
CS Search Google Search
Subscribers, please login

Published Articles >> Table of Contents >> Abstract

Third IEEE International Symposium on Cluster Computing and the Grid (CCGrid'03)   p. 62
A Method to Find Uniq e Sequences on Distrib ted Genomic Databases

Full Article Text: Download PDF of full textBuy this articleGet full text from IEEE Xplore

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CCGRID.2003.1199353
Send link to a friend

Abstract
Thanks to the development of genetic engineering, various kinds of genomic information are being unveiled. Hence, it becomes feasible to analyze the entire genomic information all at once. On the other hand, the quantity of the genomic information stocked on databases is increasing day after day. In order to process the whole information, we have to develop an effective method to deal with lots of data. Therefore, it is indis ensable not only to make an effective and rapid algorithm but also to use high-speed computer resource so as to analyze the biological information. For this purpose, as one of the most promised computing environments, the grid computing architecture has appeared recently. The European Data Grid (EDG) is one of the data- oriented grid computing environments [11].
In the field of bioinformatics, it is important to find unique sequences to succeed in molecular biological experiments [6]. Once unique sequences have been found, they can be useful for target specific probes/primers design, gene sequence comparison and so on. In this paper, we propose a method to discover unique sequences from among genomic databases located in a distributed environment. Next, we implement this method upon the European Data Grid and show the calculation results for E. coli genomes.
Additional Information

Citation:  Ken-ichi Kurata, Vincent Breton, Hiroshi Nakamura, "A Method to Find Uniq e Sequences on Distrib ted Genomic Databases," ccgrid, p. 62,  Third IEEE International Symposium on Cluster Computing and the Grid (CCGrid'03),  2003

Similar Articles

Abstract Contents
Abstract
Citation




Free access to

  • Abstracts
  • Selected PDFs

Electronic subscribers login to:

  • Access HTML/PDFs of full text articles

Subscription information

Get a Web account

Peer Review Notice

Give us Feedback