CHITRA: An Interactive Visualization Tool for Comparative Genomic Rearrangement Analysis
Clicks: 12
ID: 321390
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
3.3
/100
12 views
8 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #19 of 113 articles by views in Bioinformatics advances
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Abstract Motivation The increasing availability of chromosome-scale genome assemblies has fuelled a renewed interest in studying chromosomal evolution and rearrangements. Synteny visualization plays a critical role in understanding genome organization, structural variations, and evolutionary relationships. However, existing tools often have steep learning curves, produce static plots, or are limited in their ability to analyze multiple genomes simultaneously. There is a growing need for an intuitive and interactive visualization tool that can effectively explore syntenic relationships and chromosomal rearrangements. Results Here, we present CHITRA, a web-based interactive tool designed to visualize synteny blocks, chromosomal rearrangements, and breakpoints in both linear and circular styles. CHITRA enables real-time exploration of genome structural variations with an intuitive graphical interface, customizable visualization options, and high-resolution export capabilities for publication-ready figures. The tool supports chromosome- and scaffold-level assemblies and allows users to filter, highlight, and interactively examine syntenic relationships. Availability and implementation CHITRA is freely available at https://chitra.bioinformaticsonline.com/, with comprehensive documentation at https://chitra.bioinformaticsonline.com/docs. The source code is open-source and accessible on GitHub at https://github.com/pranjalpruthi/CHITRA.
| Reference Key |
openalex_W7169559052
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Pranjal Pruthi, Ajay Bhatia, Preeti Agarwal, Nityendra Shukla, Lata Rani, Jitendra Naraya |
| Journal | Bioinformatics advances |
| Year | 2026 |
| DOI |
10.1093/bioadv/vbag200
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.