ArticleBioinformation2011
EGID: an ensemble algorithm for improved genomic island detection in genomic sequences.
Article in Bioinformation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 29 citations in OpenAlex.
- Genomic islands and the evolution of livestock-associated Staphylococcus aureus genomes.Bioscience reports · 2020Article
- Microbial genomic island discovery, visualization and analysis.Briefings in bioinformatics · 2019Review
- Genomic repeats, misassembly and reannotation: a case study with long-read resequencing of Porphyromonas gingivalis reference strains.BMC genomics · 2018Article
- IslandViewer 4: expanded prediction of genomic islands for larger-scale datasets.Nucleic acids research · 2017Article
- Computational methods for predicting genomic islands in microbial genomes.Computational and structural biotechnology journal · 2016Review
- Article
- HGTector: an automated method facilitating genome-wide discovery of putative horizontal gene transfers.BMC genomics · 2014Article
- Identifying pathogenicity islands in bacterial pathogenomics using computational approaches.Pathogens (Basel, Switzerland) · 2014Review
- A Computational Framework for Tracing the Origins of Genomic Islands in Prokaryotes.International scholarly research notices · 2014Article
- IslandViewer update: Improved genomic island discovery and visualization.Nucleic acids research · 2013Article
- GIST: Genomic island suite of tools for predicting genomic islands in genomic sequences.Bioinformation · 2012Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.