Cargando…
multiSLIDE is a web server for exploring connected elements of biological pathways in multi-omics data
Quantitative multi-omics data are difficult to interpret and visualize due to large volume of data, complexity among data features, and heterogeneity of information represented by different omics platforms. Here, we present multiSLIDE, a web-based interactive tool for the simultaneous visualization...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052434/ https://www.ncbi.nlm.nih.gov/pubmed/33863886 http://dx.doi.org/10.1038/s41467-021-22650-x |
_version_ | 1783679917657948160 |
---|---|
author | Ghosh, Soumita Datta, Abhik Choi, Hyungwon |
author_facet | Ghosh, Soumita Datta, Abhik Choi, Hyungwon |
author_sort | Ghosh, Soumita |
collection | PubMed |
description | Quantitative multi-omics data are difficult to interpret and visualize due to large volume of data, complexity among data features, and heterogeneity of information represented by different omics platforms. Here, we present multiSLIDE, a web-based interactive tool for the simultaneous visualization of interconnected molecular features in heatmaps of multi-omics data sets. multiSLIDE visualizes biologically connected molecular features by keyword search of pathways or genes, offering convenient functionalities to query, rearrange, filter, and cluster data on a web browser in real time. Various querying mechanisms make it adaptable to diverse omics types, and visualizations are customizable. We demonstrate the versatility of multiSLIDE through three examples, showcasing its applicability to a wide range of multi-omics data sets, by allowing users to visualize established links between molecules from different omics data, as well as incorporate custom inter-molecular relationship information into the visualization. Online and stand-alone versions of multiSLIDE are available at https://github.com/soumitag/multiSLIDE. |
format | Online Article Text |
id | pubmed-8052434 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80524342021-05-11 multiSLIDE is a web server for exploring connected elements of biological pathways in multi-omics data Ghosh, Soumita Datta, Abhik Choi, Hyungwon Nat Commun Article Quantitative multi-omics data are difficult to interpret and visualize due to large volume of data, complexity among data features, and heterogeneity of information represented by different omics platforms. Here, we present multiSLIDE, a web-based interactive tool for the simultaneous visualization of interconnected molecular features in heatmaps of multi-omics data sets. multiSLIDE visualizes biologically connected molecular features by keyword search of pathways or genes, offering convenient functionalities to query, rearrange, filter, and cluster data on a web browser in real time. Various querying mechanisms make it adaptable to diverse omics types, and visualizations are customizable. We demonstrate the versatility of multiSLIDE through three examples, showcasing its applicability to a wide range of multi-omics data sets, by allowing users to visualize established links between molecules from different omics data, as well as incorporate custom inter-molecular relationship information into the visualization. Online and stand-alone versions of multiSLIDE are available at https://github.com/soumitag/multiSLIDE. Nature Publishing Group UK 2021-04-16 /pmc/articles/PMC8052434/ /pubmed/33863886 http://dx.doi.org/10.1038/s41467-021-22650-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ghosh, Soumita Datta, Abhik Choi, Hyungwon multiSLIDE is a web server for exploring connected elements of biological pathways in multi-omics data |
title | multiSLIDE is a web server for exploring connected elements of biological pathways in multi-omics data |
title_full | multiSLIDE is a web server for exploring connected elements of biological pathways in multi-omics data |
title_fullStr | multiSLIDE is a web server for exploring connected elements of biological pathways in multi-omics data |
title_full_unstemmed | multiSLIDE is a web server for exploring connected elements of biological pathways in multi-omics data |
title_short | multiSLIDE is a web server for exploring connected elements of biological pathways in multi-omics data |
title_sort | multislide is a web server for exploring connected elements of biological pathways in multi-omics data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052434/ https://www.ncbi.nlm.nih.gov/pubmed/33863886 http://dx.doi.org/10.1038/s41467-021-22650-x |
work_keys_str_mv | AT ghoshsoumita multislideisawebserverforexploringconnectedelementsofbiologicalpathwaysinmultiomicsdata AT dattaabhik multislideisawebserverforexploringconnectedelementsofbiologicalpathwaysinmultiomicsdata AT choihyungwon multislideisawebserverforexploringconnectedelementsofbiologicalpathwaysinmultiomicsdata |