EGID: an ensemble algorithm for improved genomic island detection in genomic sequences
Che, Dongsheng; Hasan, Mohammad Shabbir; Wang, Han; Fazekas, John; Huang, Jinling; Liu, Qi
Genomic islands (GIs) are genomic regions that are originally transferred from other organisms. The detection of genomic islands in genomes can lead to many applications in industrial, medical and environmental contexts. Existing computational tools for GI detection suffer either low recall or low precision, thus leaving the room for improvement. In this paper, we report the development of our Ensemble algorithm for Genomic Island Detection (EGID). EGID utilizes the prediction results of existing computational tools, filters and generates consensus prediction results. Performance comparisons between our ensemble algorithm and existing programs have shown that our ensemble algorithm is better than any other program. EGID was implemented in Java, and was compiled and executed on Linux operating systems. EGID is freely available at http://www5.esu.edu/cpsc/bioinfo/software/EGID.
Che, Dongsheng, & Hasan, Mohammad Shabbir, & Wang, Han, & Fazekas, John, & Huang, Jinling, & Liu, Qi. (January 2011). EGID: an ensemble algorithm for improved genomic island detection in genomic sequences. Bioinformation, 7(6), 311- 314. Retrieved from http://hdl.handle.net/10342/5442
Che, Dongsheng, and Hasan, Mohammad Shabbir, and Wang, Han, and Fazekas, John, and Huang, Jinling, and Liu, Qi. "EGID: an ensemble algorithm for improved genomic island detection in genomic sequences". Bioinformation. 7:6. (311-314), January 2011. December 10, 2018. http://hdl.handle.net/10342/5442.
Che, Dongsheng and Hasan, Mohammad Shabbir and Wang, Han and Fazekas, John and Huang, Jinling and Liu, Qi, "EGID: an ensemble algorithm for improved genomic island detection in genomic sequences," Bioinformation 7, no. 6 (January 2011), http://hdl.handle.net/10342/5442 (accessed December 10, 2018).
Che, Dongsheng, Hasan, Mohammad Shabbir, Wang, Han, Fazekas, John, Huang, Jinling, Liu, Qi. EGID: an ensemble algorithm for improved genomic island detection in genomic sequences. Bioinformation. January 2011; 7(6): 311-314. http://hdl.handle.net/10342/5442. Accessed December 10, 2018.