ReviewComputational and structural biotechnology journal2024
A survey of k-mer methods and applications in bioinformatics.
Review in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
74 citing papers in PubMed.
- UnconditionalSynthetic and systems biotechnology · 2026Article
- Novel genetic profile linked to cognitive decline in Hispanics/Latinos.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- A unified benchmark of supervised and retrieval-based methods for viral genomic sequence classification.Scientific reports · 2026Article
- Identification of Partitivirus-like RdRPs in theViruses · 2026Article
- MKMC enables reference-free transcriptomic analysis using k-mer representations.bioRxiv : the preprint server for biology · 2026Article
- GBSC: graph-based sequence clustering method for similar short tandem repeats in protein sequences.Bioinformatics (Oxford, England) · 2026Article
- Approaches to Studying Viral Pangenome Variation Graphs.Genomics, proteomics & bioinformatics · 2026Review
- kmerRRR: A k-mer based tool for functional genomics in Repeat Rich Regions.bioRxiv : the preprint server for biology · 2026Article
- Prediction of antimicrobial minimum inhibitory concentration from bacterial genomes using a scalable and interpretable machine learning approach.npj antimicrobials and resistance · 2026Article
- Identifying host-specific patterns in viral protein sequences to predict host spillover risk in animal and plant kingdoms.Scientific reports · 2026Article
- MAPLE: interpretable deep learning identifies selective antimicrobial peptides using joint evolutionary-physicochemical analysis.Briefings in bioinformatics · 2026Article
- Leakage-Safe ITS1 Identification of Fasciola hepatica and Fasciola gigantica with Reverse-Complement-Invariant CNN Inference.Acta parasitologica · 2026Article
- Machine and Deep Learning Reveal Sequence Determinants Encoding Bivalent Histone Modifications.Communications biology · 2026Article
- ntStat: k-mer characterization using occurrence statistics in raw sequencing data.PLoS computational biology · 2026Article
- chewBBACA 3: lowering the barrier for scalable and detailed whole- and core-genome multilocus sequence typing.Genome medicine · 2026Article
- Prediction of genetic relatedness ofAntimicrobial agents and chemotherapy · 2026Article
- BCRInsight: an antibody language model to decode biological signals from BCR sequences.Briefings in bioinformatics · 2026Article
- Regions Enriched with Reverse Complement Triplets in Bacterial Genomes.International journal of molecular sciences · 2026Article
- Integrated BSI bacteria identifier-on-chip using approximate k-mer matching.Scientific reports · 2026Article
- A comprehensive survey of genome language models in bioinformatics.Briefings in bioinformatics · 2026Review
14 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid progression of genomics and proteomics has been driven by the advent of advanced sequencing technologies, large, diverse, and readily available omics datasets, and the evolution of computational data processing capabilities. The vast amount of data generated by these advancements necessitates efficient algorithms to extract meaningful information. K-mers serve as a valuable tool when working with large sequencing datasets, offering several advantages in computational speed and memory efficiency and carrying the potential for intrinsic biological functionality. This review provides an overview of the methods, applications, and significance of k-mers in genomic and proteomic data analyses, as well as the utility of absent sequences, including nullomers and nullpeptides, in disease detection, vaccine development, therapeutics, and forensic science. Therefore, the review highlights the pivotal role of k-mers in addressing current genomic and proteomic problems and underscores their potential for future breakthroughs in research.
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Identifiers
What OpenQuestion holds
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.