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

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...

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Autores principales: Anand, Lakshay, Rodriguez Lopez, Carlos M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753883/
https://www.ncbi.nlm.nih.gov/pubmed/35016614
http://dx.doi.org/10.1186/s12859-021-04556-z
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author Anand, Lakshay
Rodriguez Lopez, Carlos M.
author_facet Anand, Lakshay
Rodriguez Lopez, Carlos M.
author_sort Anand, Lakshay
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-021-04556-z.
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spelling pubmed-87538832022-01-18 ChromoMap: an R package for interactive visualization of multi-omics data and annotation of chromosomes Anand, Lakshay Rodriguez Lopez, Carlos M. BMC Bioinformatics Software 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-021-04556-z. BioMed Central 2022-01-11 /pmc/articles/PMC8753883/ /pubmed/35016614 http://dx.doi.org/10.1186/s12859-021-04556-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Anand, Lakshay
Rodriguez Lopez, Carlos M.
ChromoMap: an R package for interactive visualization of multi-omics data and annotation of chromosomes
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 Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753883/
https://www.ncbi.nlm.nih.gov/pubmed/35016614
http://dx.doi.org/10.1186/s12859-021-04556-z
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