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RepViz: a replicate-driven R tool for visualizing genomic regions
OBJECTIVE: Visualization of sequencing data is an integral part of genomic data analysis. Although there are several tools to visualize sequencing data on genomic regions, they do not offer user-friendly ways to view simultaneously different groups of replicates. To address this need, we developed a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642542/ https://www.ncbi.nlm.nih.gov/pubmed/31324268 http://dx.doi.org/10.1186/s13104-019-4473-z |
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author | Faux, Thomas Rytkönen, Kalle T. Laiho, Asta Elo, Laura L. |
author_facet | Faux, Thomas Rytkönen, Kalle T. Laiho, Asta Elo, Laura L. |
author_sort | Faux, Thomas |
collection | PubMed |
description | OBJECTIVE: Visualization of sequencing data is an integral part of genomic data analysis. Although there are several tools to visualize sequencing data on genomic regions, they do not offer user-friendly ways to view simultaneously different groups of replicates. To address this need, we developed a tool that allows efficient viewing of both intra- and intergroup variation of sequencing counts on a genomic region, as well as their comparison to the output of user selected analysis methods, such as peak calling. RESULTS: We present an R package RepViz for replicate-driven visualization of genomic regions. With ChIP-seq and ATAC-seq data we demonstrate its potential to aid visual inspection involved in the evaluation of normalization, outlier behavior, detected features from differential peak calling analysis, and combined analysis of multiple data types. RepViz is readily available on Bioconductor (https://www.bioconductor.org/packages/devel/bioc/html/RepViz.html) and on Github (https://github.com/elolab/RepViz). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13104-019-4473-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6642542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66425422019-07-29 RepViz: a replicate-driven R tool for visualizing genomic regions Faux, Thomas Rytkönen, Kalle T. Laiho, Asta Elo, Laura L. BMC Res Notes Research Note OBJECTIVE: Visualization of sequencing data is an integral part of genomic data analysis. Although there are several tools to visualize sequencing data on genomic regions, they do not offer user-friendly ways to view simultaneously different groups of replicates. To address this need, we developed a tool that allows efficient viewing of both intra- and intergroup variation of sequencing counts on a genomic region, as well as their comparison to the output of user selected analysis methods, such as peak calling. RESULTS: We present an R package RepViz for replicate-driven visualization of genomic regions. With ChIP-seq and ATAC-seq data we demonstrate its potential to aid visual inspection involved in the evaluation of normalization, outlier behavior, detected features from differential peak calling analysis, and combined analysis of multiple data types. RepViz is readily available on Bioconductor (https://www.bioconductor.org/packages/devel/bioc/html/RepViz.html) and on Github (https://github.com/elolab/RepViz). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13104-019-4473-z) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-19 /pmc/articles/PMC6642542/ /pubmed/31324268 http://dx.doi.org/10.1186/s13104-019-4473-z Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Note Faux, Thomas Rytkönen, Kalle T. Laiho, Asta Elo, Laura L. RepViz: a replicate-driven R tool for visualizing genomic regions |
title | RepViz: a replicate-driven R tool for visualizing genomic regions |
title_full | RepViz: a replicate-driven R tool for visualizing genomic regions |
title_fullStr | RepViz: a replicate-driven R tool for visualizing genomic regions |
title_full_unstemmed | RepViz: a replicate-driven R tool for visualizing genomic regions |
title_short | RepViz: a replicate-driven R tool for visualizing genomic regions |
title_sort | repviz: a replicate-driven r tool for visualizing genomic regions |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642542/ https://www.ncbi.nlm.nih.gov/pubmed/31324268 http://dx.doi.org/10.1186/s13104-019-4473-z |
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