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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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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. |
format | Online Article Text |
id | pubmed-8753883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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