ArticleBMC bioinformatics2025
Blastn2dotplots: multiple dot-plot visualizer for genome comparisons.
Article in BMC bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundDot-plots, along with linear comparisons, are fundamental visualization methods in genome comparisons, widely used for analyzing structural variations, repeat regions, and sequence similarities. However, existing tools often have limitations in visualization flexibility, particularly requiring the concatenation of multiple sequences into a single continuous axis. This constraint can make it difficult to apply highlights or user-defined grid lines effectively, reducing interpretability in comparative genomic analyses.
resultsWe developed blastn2dotplots, a Python 3-based tool that utilizes the Matplotlib library to generate customizable dot-plots from local blastn results. Unlike traditional approaches, blastn2dotplots treats each alignment as a separate subplot, allowing for independent axis labeling, adjustable spacing between plots, and enhanced visualization flexibility. Users can highlight specific regions of interest, apply custom grid lines, and tailor the display to suit different genomic analyses. This tool is particularly useful for chromosomal structure analyses, detection of horizontal gene transfer events, and visualization of repetitive elements, offering an intuitive and adaptable framework for sequence comparison.
conclusionsBy addressing key limitations of existing dot-plot visualization tools, blastn2dotplots enhances the clarity and flexibility of comparative genomic analyses. Its ability to handle multiple alignments separately while preserving independent axis control and customization options makes it a valuable resource for a wide range of genomic studies. This tool provides a novel and effective solution for researchers needing precise and adaptable visualization of sequence alignments, thereby maximizing the potential of dot-plots in bioinformatics.
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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.