ChromoMap: an R package for interactive visualization of multi-omics data and annotation of chromosomes

Abstract Background The 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-ass...

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Main Authors: Lakshay Anand, Carlos M. Rodriguez Lopez
Format: Article
Language:English
Published: BMC 2022-01-01
Series:BMC Bioinformatics
Subjects:
Online Access:https://doi.org/10.1186/s12859-021-04556-z
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author Lakshay Anand
Carlos M. Rodriguez Lopez
author_facet Lakshay Anand
Carlos M. Rodriguez Lopez
author_sort Lakshay Anand
collection DOAJ
description Abstract Background The 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. Results We 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. Conclusions ChromoMap’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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spelling doaj.art-8e724816b8524b56ab7048d72324eb012022-12-22T04:09:24ZengBMCBMC Bioinformatics1471-21052022-01-012311910.1186/s12859-021-04556-zChromoMap: an R package for interactive visualization of multi-omics data and annotation of chromosomesLakshay Anand0Carlos M. Rodriguez Lopez1Environmental Epigenetics and Genetics Group, Department of Horticulture, University of KentuckyEnvironmental Epigenetics and Genetics Group, Department of Horticulture, University of KentuckyAbstract Background The 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. Results We 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. Conclusions ChromoMap’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.https://doi.org/10.1186/s12859-021-04556-zGenome visualizationMulti-omics data visualizationR package
spellingShingle Lakshay Anand
Carlos M. Rodriguez Lopez
ChromoMap: an R package for interactive visualization of multi-omics data and annotation of chromosomes
BMC Bioinformatics
Genome visualization
Multi-omics data visualization
R package
title ChromoMap: an R package for interactive visualization of multi-omics data and annotation of chromosomes
title_full ChromoMap: an R package for interactive visualization of multi-omics data and annotation of chromosomes
title_fullStr ChromoMap: an R package for interactive visualization of multi-omics data and annotation of chromosomes
title_full_unstemmed ChromoMap: an R package for interactive visualization of multi-omics data and annotation of chromosomes
title_short ChromoMap: an R package for interactive visualization of multi-omics data and annotation of chromosomes
title_sort chromomap an r package for interactive visualization of multi omics data and annotation of chromosomes
topic Genome visualization
Multi-omics data visualization
R package
url https://doi.org/10.1186/s12859-021-04556-z
work_keys_str_mv AT lakshayanand chromomapanrpackageforinteractivevisualizationofmultiomicsdataandannotationofchromosomes
AT carlosmrodriguezlopez chromomapanrpackageforinteractivevisualizationofmultiomicsdataandannotationofchromosomes