ArticleBioinformatics (Oxford, England)2023
ReConPlot: an R package for the visualization and interpretation of genomic rearrangements.
Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Clustered structural variant hotspots enable oncogenic addiction and plasticity in osteosarcoma.bioRxiv : the preprint server for biology · 2026Article
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- A single chromosome 3p break initiates clear cell renal cell carcinoma evolution.bioRxiv : the preprint server for biology · 2026Article
- Murine osteosarcoma recapitulates the driver landscape and genomic complexity of osteosarcoma evolution in humans.bioRxiv : the preprint server for biology · 2026Article
- SAVANA: reliable analysis of somatic structural variants and copy number aberrations using long-read sequencing.Nature methods · 2025Article
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- Detecting the Tumor Prognostic Factors From the YTH Domain Family Through Integrative Pan-Cancer Analysis.Cancer informatics · 2024Article
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Authors and funding
2 authors.
Funding
Abstract
motivationWhole-genome sequencing studies of human tumours have revealed that complex forms of structural variation, collectively known as complex genome rearrangements (CGRs), are pervasive across diverse cancer types. Detection, classification, and mechanistic interpretation of CGRs requires the visualization of complex patterns of somatic copy number aberrations (SCNAs) and structural variants (SVs). However, there is a lack of tools specifically designed to facilitate the visualization and study of CGRs.
resultsWe present ReConPlot (REarrangement and COpy Number PLOT), an R package that provides functionalities for the joint visualization of SCNAs and SVs across one or multiple chromosomes. ReConPlot is based on the popular ggplot2 package, thus allowing customization of plots and the generation of publication-quality figures with minimal effort. Overall, ReConPlot facilitates the exploration, interpretation, and reporting of CGR patterns. AVAILABILITY AND IMPLEMENTATION: The R package ReConPlot is available at https://github.com/cortes-ciriano-lab/ReConPlot. Detailed documentation and a tutorial with examples are provided with the package.
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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.