Genomics Inform Search

CLOSE


Genomics Inform > Volume 2(3); 2004 > Article
Web Services Based Biological Data Analysis Tool.
Min Kyung Kim, Yo Hahn Choi, Seong Joon Yoo, Hyun Seok Park
1Department of Computer Science and Engineering,Ewha University, Seoul 120-750, Korea. neo@ewha.ac.kr
2School of Computer Science and Engineering, Sejong University,Seoul 143-747, Korea.
3Institute of Bioinformatics,Macrogen Inc., Seoul 153-023, Korea.
Abstract
Biological data and analysis tools are accumulated in distributed databases and web servers. For this reason, biologists who want to find information from the web should be aware of the various kinds of resources where it is located and how it is retrieved. Integrating the data from heterogeneous biological resources will enable biologists to discover new knowledge across the specific domain boundaries from sequences to expression, structure, and pathway. And inevitably biological databases contain noisy data. Therefore, consensus among databases will confirm the reliability of its contents. We have developed WeSAT that integrates distributed and heterogeneous biological databases and analysis tools, providing through Web Services protocols. In WeSAT, biologists are retrieved specific entries in SWISS-PROT/EMBL, PDB, and KEGG, which have annotated information about sequence, structure,and pathway. And further analysis is carried by integrated services for example homology search and multiple alignments. WeSAT makes it possible to retrieve real time updated data and analysis from the scattered databases in a single platform through Web Services.
Keywords: database integration; platform; web services
TOOLS
Share :
Facebook Twitter Linked In Google+
METRICS Graph View
  • 1,143 View
  • 4 Download
Related articles in GNI

Review of Biological Network Data and Its Applications2013 December;11(4)



ABOUT
ARTICLE CATEGORY

Browse all articles >

BROWSE ARTICLES
FOR CONTRIBUTORS
Editorial Office
Room No. 806, 193 Mallijae-ro, Jung-gu, Seoul 04501, Korea
Tel: +82-2-558-9394    Fax: +82-2-558-9434    E-mail: kogo3@kogo.or.kr                

Copyright © 2022 by Korea Genome Organization.

Developed in M2PI

Close layer
prev next