ArticleBMC bioinformatics2026
M2Viz: a tool for visualizing genetic or proteomic modifications and variants.
Article in BMC bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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Who cites it
3 citing papers in PubMed.
- Integrative Phosphoproteomic Characterization of ULK1 Phosphosites Reveals Co-Regulatory Networks in Autophagy and Metabolic Adaptation.International journal of molecular sciences · 2026Article
- Systematic Analysis of MRTFB Phosphoproteomic Datasets Reveals Co-Regulated Kinase Networks and Co-Occurring Phosphosites Associated with the Actin Cytoskeleton Pathway.Current issues in molecular biology · 2026Article
- Revealing RELL1 signaling relying on the phosphoregulatory network analysis.Frontiers in bioinformatics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundVisualization of mutations and modifications on nucleotide and protein sequences provides insights into sequence hotspots conveying biologically relevant findings derived through genomics/proteomics platforms. Lollipop plots are suitable for such visualization, where structural modules can also be easily defined to further refine meaningful information in mutation/modification patterns. Although multiple tools are available for this purpose, they are limited by the data category that can be input and lack automation. We developed a multi-purpose, opensource, completely automated web-based tool that can visualize all possible omics data inputs feasible for generating ready-to-use lollipop plots.
resultsM2Viz is a web-based application designed for visualizing modifications and mutations (M2) identified from genomics/proteomics datasets on gene and protein sequences. It is a one-stop-solution for creating lollipop plots representing DNA methylation, Single Nucleotide Variations (SNVs), protein Post-Translational Modifications (PTMs), and Single Amino Acid Variations (SAAVs). Additionally, tool can be accessed to represent profiling and differential expression/regulation datasets, with options for visualizing numerical data. The tool provides end-to-end solution for uploading, processing, annotating and graphical representation. The system integrates a Python-Django backend for data handling, an R-based engine for advanced plotting, and a React.js frontend for a responsive and interactive user experience. Nucleotide or amino acid sequences and protein domain information are retrieved from Ensembl or UniProt through REST API, removing dependency on manual data downloading.
conclusionM2Viz is instrumental in visualizing DNA methylation, mutational hotspots and PTMs on gene/protein sequences. It is a valuable tool across omics pipelines and bioinformatics. The visualization pipeline is automated to reduce the need for hosting sequence and structural information in the backend, along with custom plotting flexibility. M2Viz is freely accessible at " https://ciods.in/m2viz ".
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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.