Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Marx, Harald, Coon, Joshua J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
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
_version_ 1783386972838952960
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