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Metascape provides a biologist-oriented resource for the analysis of systems-level datasets
A critical component in the interpretation of systems-level studies is the inference of enriched biological pathways and protein complexes contained within OMICs datasets. Successful analysis requires the integration of a broad set of current biological databases and the application of a robust anal...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447622/ https://www.ncbi.nlm.nih.gov/pubmed/30944313 http://dx.doi.org/10.1038/s41467-019-09234-6 |
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author | Zhou, Yingyao Zhou, Bin Pache, Lars Chang, Max Khodabakhshi, Alireza Hadj Tanaseichuk, Olga Benner, Christopher Chanda, Sumit K. |
author_facet | Zhou, Yingyao Zhou, Bin Pache, Lars Chang, Max Khodabakhshi, Alireza Hadj Tanaseichuk, Olga Benner, Christopher Chanda, Sumit K. |
author_sort | Zhou, Yingyao |
collection | PubMed |
description | A critical component in the interpretation of systems-level studies is the inference of enriched biological pathways and protein complexes contained within OMICs datasets. Successful analysis requires the integration of a broad set of current biological databases and the application of a robust analytical pipeline to produce readily interpretable results. Metascape is a web-based portal designed to provide a comprehensive gene list annotation and analysis resource for experimental biologists. In terms of design features, Metascape combines functional enrichment, interactome analysis, gene annotation, and membership search to leverage over 40 independent knowledgebases within one integrated portal. Additionally, it facilitates comparative analyses of datasets across multiple independent and orthogonal experiments. Metascape provides a significantly simplified user experience through a one-click Express Analysis interface to generate interpretable outputs. Taken together, Metascape is an effective and efficient tool for experimental biologists to comprehensively analyze and interpret OMICs-based studies in the big data era. |
format | Online Article Text |
id | pubmed-6447622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64476222019-04-05 Metascape provides a biologist-oriented resource for the analysis of systems-level datasets Zhou, Yingyao Zhou, Bin Pache, Lars Chang, Max Khodabakhshi, Alireza Hadj Tanaseichuk, Olga Benner, Christopher Chanda, Sumit K. Nat Commun Article A critical component in the interpretation of systems-level studies is the inference of enriched biological pathways and protein complexes contained within OMICs datasets. Successful analysis requires the integration of a broad set of current biological databases and the application of a robust analytical pipeline to produce readily interpretable results. Metascape is a web-based portal designed to provide a comprehensive gene list annotation and analysis resource for experimental biologists. In terms of design features, Metascape combines functional enrichment, interactome analysis, gene annotation, and membership search to leverage over 40 independent knowledgebases within one integrated portal. Additionally, it facilitates comparative analyses of datasets across multiple independent and orthogonal experiments. Metascape provides a significantly simplified user experience through a one-click Express Analysis interface to generate interpretable outputs. Taken together, Metascape is an effective and efficient tool for experimental biologists to comprehensively analyze and interpret OMICs-based studies in the big data era. Nature Publishing Group UK 2019-04-03 /pmc/articles/PMC6447622/ /pubmed/30944313 http://dx.doi.org/10.1038/s41467-019-09234-6 Text en © The Author(s) 2019 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/. |
spellingShingle | Article Zhou, Yingyao Zhou, Bin Pache, Lars Chang, Max Khodabakhshi, Alireza Hadj Tanaseichuk, Olga Benner, Christopher Chanda, Sumit K. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets |
title | Metascape provides a biologist-oriented resource for the analysis of systems-level datasets |
title_full | Metascape provides a biologist-oriented resource for the analysis of systems-level datasets |
title_fullStr | Metascape provides a biologist-oriented resource for the analysis of systems-level datasets |
title_full_unstemmed | Metascape provides a biologist-oriented resource for the analysis of systems-level datasets |
title_short | Metascape provides a biologist-oriented resource for the analysis of systems-level datasets |
title_sort | metascape provides a biologist-oriented resource for the analysis of systems-level datasets |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447622/ https://www.ncbi.nlm.nih.gov/pubmed/30944313 http://dx.doi.org/10.1038/s41467-019-09234-6 |
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