Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Faux, Thomas, Rytkönen, Kalle T., Laiho, Asta, Elo, Laura L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
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
_version_ 1783436996456218624
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
work_keys_str_mv AT fauxthomas repvizareplicatedrivenrtoolforvisualizinggenomicregions
AT rytkonenkallet repvizareplicatedrivenrtoolforvisualizinggenomicregions
AT laihoasta repvizareplicatedrivenrtoolforvisualizinggenomicregions
AT elolaural repvizareplicatedrivenrtoolforvisualizinggenomicregions