ArticleFrontiers in microbiology2020
KmerGO: A Tool to Identify Group-Specific Sequences With
Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- BiTUGA: scalable prevalence-based unitig association testing for binary traits.G3 (Bethesda, Md.) · 2026Article
- Seqwin: ultrafast identification of signature sequences in microbial genomes.Bioinformatics (Oxford, England) · 2026Article
- Empowering global disease surveillance with CURED: a tool for rapid identification of unique genomic biomarkers.mSystems · 2026Article
- MetaFX: feature extraction from whole-genome metagenomic sequencing data.Bioinformatics (Oxford, England) · 2026Article
- Article
- Seqwin: Ultrafast identification of signature sequences in microbial genomes.bioRxiv : the preprint server for biology · 2025Article
- Identification of potential SARS-CoV-2 genomic regions representing hallmarks for adaptation to different hosts.iMetaOmics · 2025Article
- The fourspine stickleback (Apeltes quadracus) has an XY sex chromosome system with polymorphic inversions on both X and Y chromosomes.PLoS genetics · 2025Article
- Spiral phyllotaxis predicts left-right asymmetric growth and style deflection in mirror-image flowers of Cyanella alba.Nature communications · 2025Article
- Inferring Staphylococcus aureus host species and cross-species transmission from a genome-based model.BMC genomics · 2025Article
- A survey of k-mer methods and applications in bioinformatics.Computational and structural biotechnology journal · 2024Review
- Deep learning neural network development for the classification of bacteriocin sequences produced by lactic acid bacteria.F1000Research · 2024Article
- Review
- Comparison of k-mer-basedMicrobiome research reports · 2023Article
- The third international hackathon for applying insights into large-scale genomic composition to use cases in a wide range of organisms.F1000Research · 2022Article
- Identifying individual-specific microbial DNA fingerprints from skin microbiomes.Frontiers in microbiology · 2022Article
- Hierarchical Microbial Functions Prediction by Graph Aggregated Embedding.Frontiers in genetics · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Capturing group-specific sequences between two groups of genomic/metagenomic sequences is critical for the follow-up identifications of singular nucleotide variants (SNVs), gene families, microbial species or other elements associated with each group. A sequence that is present, or rich, in one group, but absent, or scarce, in another group is considered a "group-specific" sequence in our study. We developed a user-friendly tool, KmerGO, to identify group-specific sequences between two groups of genomic/metagenomic long sequences or high-throughput sequencing datasets. Compared with other tools, KmerGO captures group-specific
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