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MS-Helios: a Circos wrapper to visualize multi-omic datasets
BACKGROUND: Advances in high-resolution mass spectrometry facilitate the identification of hundreds of metabolites, thousands of proteins and their post-translational modifications. This remarkable progress poses a challenge to data analysis and visualization, requiring methods to reduce dimensional...
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/PMC6330434/ https://www.ncbi.nlm.nih.gov/pubmed/30634897 http://dx.doi.org/10.1186/s12859-018-2564-9 |
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author | Marx, Harald Coon, Joshua J. |
author_facet | Marx, Harald Coon, Joshua J. |
author_sort | Marx, Harald |
collection | PubMed |
description | BACKGROUND: Advances in high-resolution mass spectrometry facilitate the identification of hundreds of metabolites, thousands of proteins and their post-translational modifications. This remarkable progress poses a challenge to data analysis and visualization, requiring methods to reduce dimensionality and represent the data in a compact way. To provide a more holistic view, we recently introduced circular proteome maps (CPMs). However, the CPM construction requires prior data transformation and extensive knowledge of the Perl-based tool, Circos. RESULTS: We present MS-Helios, an easy to use command line tool with multiple built-in data processing functions, allowing non-expert users to construct CPMs or in general terms circular plots with a non-genomic basis. MS-Helios automatically generates data and configuration files to create high quality and publishable circular plots with Circos. We showcase the software on large-scale multi-omic datasets to visualize global trends and/or to contextualize specific features. CONCLUSIONS: MS-Helios provides the means to easily map and visualize multi-omic data in a comprehensive way. The software, datasets, source code, and tutorial are available at https://sourceforge.net/projects/ms-helios/. |
format | Online Article Text |
id | pubmed-6330434 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63304342019-01-16 MS-Helios: a Circos wrapper to visualize multi-omic datasets Marx, Harald Coon, Joshua J. BMC Bioinformatics Software BACKGROUND: Advances in high-resolution mass spectrometry facilitate the identification of hundreds of metabolites, thousands of proteins and their post-translational modifications. This remarkable progress poses a challenge to data analysis and visualization, requiring methods to reduce dimensionality and represent the data in a compact way. To provide a more holistic view, we recently introduced circular proteome maps (CPMs). However, the CPM construction requires prior data transformation and extensive knowledge of the Perl-based tool, Circos. RESULTS: We present MS-Helios, an easy to use command line tool with multiple built-in data processing functions, allowing non-expert users to construct CPMs or in general terms circular plots with a non-genomic basis. MS-Helios automatically generates data and configuration files to create high quality and publishable circular plots with Circos. We showcase the software on large-scale multi-omic datasets to visualize global trends and/or to contextualize specific features. CONCLUSIONS: MS-Helios provides the means to easily map and visualize multi-omic data in a comprehensive way. The software, datasets, source code, and tutorial are available at https://sourceforge.net/projects/ms-helios/. BioMed Central 2019-01-11 /pmc/articles/PMC6330434/ /pubmed/30634897 http://dx.doi.org/10.1186/s12859-018-2564-9 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 | Software Marx, Harald Coon, Joshua J. MS-Helios: a Circos wrapper to visualize multi-omic datasets |
title | MS-Helios: a Circos wrapper to visualize multi-omic datasets |
title_full | MS-Helios: a Circos wrapper to visualize multi-omic datasets |
title_fullStr | MS-Helios: a Circos wrapper to visualize multi-omic datasets |
title_full_unstemmed | MS-Helios: a Circos wrapper to visualize multi-omic datasets |
title_short | MS-Helios: a Circos wrapper to visualize multi-omic datasets |
title_sort | ms-helios: a circos wrapper to visualize multi-omic datasets |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330434/ https://www.ncbi.nlm.nih.gov/pubmed/30634897 http://dx.doi.org/10.1186/s12859-018-2564-9 |
work_keys_str_mv | AT marxharald msheliosacircoswrappertovisualizemultiomicdatasets AT coonjoshuaj msheliosacircoswrappertovisualizemultiomicdatasets |