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GIST: Genomic island suite of tools for predicting genomic islands in genomic sequences BACK TO CONTENTS PDF PREVIOUS NEXT
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Title

GIST: Genomic island suite of tools for predicting genomic islands

 

Authors

Mohammad Shabbir Hasan1, Qi Liu2, Han Wang1, John Fazekas1, Bernard Chen3, & Dongsheng Che1*

 

Affiliation

1Department of Computer Science, East Stroudsburg University, East Stroudsburg, PA 18301, USA; 2College of Life Science and Biotechnology, Tongji University, Shanghai, 200092, China; 3Department of Computer Science, University of Central Arkansas, Conway, AR, 72035, USA.

 

Email

dche@po-box.esu.edu;; *Corresponding author

 

Article Type

Software

 

Date

Received January 27, 2012; Accepted February 10, 2012; Published February 28, 2012

Abstract

Genomic Islands (GIs) are genomic regions that are originally from other organisms, through a process known as Horizontal Gene Transfer (HGT). Detection of GIs plays a significant role in biomedical research since such align genomic regions usually contain important features, such as pathogenic genes. We have developed a use friendly graphic user interface, Genomic Island Suite of Tools (GIST), which is a platform for scientific users to predict GIs. This software package includes five commonly used tools, AlienHunter, IslandPath, Colombo SIGI-HMM, INDeGenIUS and Pai-Ida. It also includes an optimization program EGID that ensembles the result of existing tools for more accurate prediction. The tools in GIST can be used either separately or sequentially. GIST also includes a downloadable feature that facilitates collecting the input genomes automatically from the FTP server of the National Center for Biotechnology Information (NCBI). GIST was implemented in Java, and was compiled and executed on Linux/Unix operating systems.

 

Availability

http://www5.esu.edu/cpsc/bioinfo/software/GIST

 

Keywords

Prokaryotic genomes; Genomic islands; Sequence analysis

Citation

Hasan et al. Bioinformation 8(4): 203-205 (2012)

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

Copyright

Publisher

 

Copyright Transfer Agreement

The authors of published articles in Bioinformation automatically transfer the copyright to the publisher upon formal acceptance. However, the authors reserve right to use the information contained in the article for non commercial purposes.

 

License

This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.