ArticleBriefings in bioinformatics2018
MTGIpick allows robust identification of genomic islands from a single genome.
Article in Briefings in bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
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- Current state and future prospects of Horizontal Gene Transfer detection.NAR genomics and bioinformatics · 2025Review
- Multimodal deep learning for predicting protein ubiquitination sites.Bioinformatics advances · 2025Article
- Identification and Experimental Validation of Oxidative Stress-Related Biomarkers in Ulcerative Colitis Using Machine Learning.Journal of inflammation research · 2025Article
- Comprehensive Bioinformatics Analysis for the Identification of Hub Genes and Critical Signaling Pathways Differentiating Latent and Active Tuberculosis.Combinatorial chemistry & high throughput screening · 2025Article
- Computational strategies in tumor phylogenetics: evaluating multimodal integration and methodological trade-offs across study designs.Bioinformatics advances · 2025Review
- Identification of Key Biomarkers and Immune Microenvironment Features in Ulcerative Colitis: An Integrated Analysis Using WGCNA and Multiple Machine Learning Algorithms.Journal of inflammation research · 2025Article
- Comprehensive pan-cancer analysis reveals CGB5 is a potential promising predictive and immunotherapeutic biomarker.Frontiers in medicine · 2025Article
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- Enhancing genomic disorder prediction through Feynman Concordance and Interpolated Nearest Centroid techniques.Scientific reports · 2024Article
- Scm6A: A Fast and Low-cost Method for Quantifying m6A Modifications at the Single-cell Level.Genomics, proteomics & bioinformatics · 2024Article
- iPro2L-DG: Hybrid network based on improved densenet and global attention mechanism for identifying promoter sequences.Heliyon · 2024Article
- FEOpti-ACVP: identification of novel anti-coronavirus peptide sequences based on feature engineering and optimization.Briefings in bioinformatics · 2024Article
- Using the Random Forest for Identifying Key Physicochemical Properties of Amino Acids to Discriminate Anticancer and Non-Anticancer Peptides.International journal of molecular sciences · 2023Article
- Genomic Signature in Evolutionary Biology: A Review.Biology · 2023Review
- MultiScale-CNN-4mCPred: a multi-scale CNN and adaptive embedding-based method for mouse genome DNA N4-methylcytosine prediction.BMC bioinformatics · 2023Article
- Mitochondria dysfunction in airway epithelial cells is associated with type 2-low asthma.Frontiers in genetics · 2023Article
- iEnhancer-DCSV: Predicting enhancers and their strength based on DenseNet and improved convolutional block attention module.Frontiers in genetics · 2023Article
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Authors and funding
13 authors.
Funding
Abstract
Genomic islands (GIs) that are associated with microbial adaptations and carry sequence patterns different from that of the host are sporadically distributed among closely related species. This bias can dominate the signal of interest in GI detection. However, variations still exist among the segments of the host, although no uniform standard exists regarding the best methods of discriminating GIs from the rest of the genome in terms of compositional bias. In the present work, we proposed a robust software, MTGIpick, which used regions with pattern bias showing multiscale difference levels to identify GIs from the host. MTGIpick can identify GIs from a single genome without annotated information of genomes or prior knowledge from other data sets. When real biological data were used, MTGIpick demonstrated better performance than existing methods, as well as revealed potential GIs with accurate sizes missed by existing methods because of a uniform standard. Software and supplementary are freely available at http://bioinfo.zstu.edu.cn/MTGI or https://github.com/bioinfo0706/MTGIpick.
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