ArticleBMC bioinformatics2022
ChromoMap: an R package for interactive visualization of multi-omics data and annotation of chromosomes.
Article in BMC bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 1 of them a synthesis that pooled it.
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Who cites it
117 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genome-wide meta-QTL analyses provide novel insight into disease resistance repertoires in common bean.BMC genomics · 2022Pooled it
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- Vernalization regulatory network identifies potential novel functions for genes in the HvVRN2 locus.The New phytologist · 2026Article
- Copy number evolution of conserved noncoding RNA gene families across mammals.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Article
- Activated T cell extracellular vesicle DNA transfer enhances antigen presentation and anti-tumor immunity.Cancer cell · 2026Article
- Transcriptional and epigenetic changes associated with lead exposure in spermatozoa.Asian journal of andrology · 2026Article
- Polycomb repression works without Siesta, theScience advances · 2026Article
- Uncovering the genome evolutionary dynamics of the Mediterranean endemic palm Chamaerops humilis.BMC plant biology · 2026Article
- Integrative machine learning approach for identifying genes associated with quantitative traits: A soybean (Glycine max) yield case study.The plant genome · 2026Article
- Sex-specific ethylene responses drive floral sexual plasticity in Cannabis sativa.The Plant journal : for cell and molecular biology · 2026Article
- Identity rather than 3D position informs splicing of rare introns in the human genome.iScience · 2026Article
- Gibberellin pathway remodeling accompanies ethylene-driven sex reversal inFrontiers in plant science · 2026Article
- Calm in the midst of the storm: inferring gene expression stability in flowering plants.Frontiers in plant science · 2026Article
- Genome-wide characterization of the PPR gene family and its potential roles in stress responses and chloroplast RNA editing inFrontiers in plant science · 2026Article
- Surprisingly frequent chromosomal instability in cultivated peanut.The Plant journal : for cell and molecular biology · 2025Article
- From bottleneck to boom: Polyploidy, genetic instability and response to artificial selection resolve the peanut paradox.The Plant journal : for cell and molecular biology · 2025Article
- Human macrophage response to the emerging enteric pathogenVirulence · 2025Article
57 more citing papers are in PubMed but not listed here.
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2 authors.
Funding
Abstract
backgroundThe recent advancements in high-throughput sequencing have resulted in the availability of annotated genomes, as well as of multi-omics data for many living organisms. This has increased the need for graphic tools that allow the concurrent visualization of genomes and feature-associated multi-omics data on single publication-ready plots.
resultsWe present chromoMap, an R package, developed for the construction of interactive visualizations of chromosomes/chromosomal regions, mapping of any chromosomal feature with known coordinates (i.e., protein coding genes, transposable elements, non-coding RNAs, microsatellites, etc.), and chromosomal regional characteristics (i.e. genomic feature density, gene expression, DNA methylation, chromatin modifications, etc.) of organisms with a genome assembly. ChromoMap can also integrate multi-omics data (genomics, transcriptomics and epigenomics) in relation to their occurrence across chromosomes. ChromoMap takes tab-delimited files (BED like) or alternatively R objects to specify the genomic co-ordinates of the chromosomes and elements to annotate. Rendered chromosomes are composed of continuous windows of a given range, which, on hover, display detailed information about the elements annotated within that range. By adjusting parameters of a single function, users can generate a variety of plots that can either be saved as static image or as HTML documents.
conclusionsChromoMap's flexibility allows for concurrent visualization of genomic data in each strand of a given chromosome, or of more than one homologous chromosome; allowing the comparison of multi-omic data between genotypes (e.g. species, varieties, etc.) or between homologous chromosomes of phased diploid/polyploid genomes. chromoMap is an extensive tool that can be potentially used in various bioinformatics analysis pipelines for genomic visualization of multi-omics data.
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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.