ArticleGenes2021
VIRMOTIF: A User-Friendly Tool for Viral Sequence Analysis.
Article in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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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
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis.Frontiers in public health · 2022Pooled it
- Why did individuals seeking COVID-19 advice return to internet hospitals for follow-up in the early pandemic: Insights from machine learning.BMC public health · 2025Article
- Phage quest: a beginner's guide to explore viral diversity in the prokaryotic world.Briefings in bioinformatics · 2025Review
- A Comprehensive Investigation of Genomic Variants in Prostate Cancer Reveals 30 Putative Regulatory Variants.International journal of molecular sciences · 2023Article
- Proposing a hybrid technique of feature fusion and convolutional neural network for melanoma skin cancer detection.Journal of pathology informatics · 2023Article
- Somatic point mutations are enriched in non-coding RNAs with possible regulatory function in breast cancer.Communications biology · 2022Article
- Four-layer ConvNet to facial emotion recognition with minimal epochs and the significance of data diversity.Scientific reports · 2022Article
- Integrative analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer.BMC bioinformatics · 2022Article
- The low abundance of CpG in the SARS-CoV-2 genome is not an evolutionarily signature of ZAP.Scientific reports · 2022Article
- Is There a Need for a More Precise Description of Biomolecule Interactions to Understand Cell Function?Current issues in molecular biology · 2022Review
- MStoCIRC: A powerful tool for downstream analysis of MS/MS data to predict translatable circRNAs.Frontiers in molecular biosciences · 2022Article
- Hybrid HCNN-KNN Model Enhances Age Estimation Accuracy in Orthopantomography.Frontiers in public health · 2022Article
- Real-time prediction of Poisson's ratio from drilling parameters using machine learning tools.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bioinformatics and computational biology have significantly contributed to the generation of vast and important knowledge that can lead to great improvements and advancements in biology and its related fields. Over the past three decades, a wide range of tools and methods have been developed and proposed to enhance performance, diagnosis, and throughput while maintaining feasibility and convenience for users. Here, we propose a new user-friendly comprehensive tool called VIRMOTIF to analyze DNA sequences. VIRMOTIF brings different tools together as one package so that users can perform their analysis as a whole and in one place. VIRMOTIF is able to complete different tasks, including computing the number or probability of motifs appearing in DNA sequences, visualizing data using the matplotlib and heatmap libraries, and clustering data using four different methods, namely K-means, PCA, Mean Shift, and ClusterMap. VIRMOTIF is the only tool with the ability to analyze genomic motifs based on their frequency and representation (D-ratio) in a virus genome.
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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.