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netgsa: Fast computation and interactive visualization for topology-based pathway enrichment analysis
Existing software tools for topology-based pathway enrichment analysis are either computationally inefficient, have undesirable statistical power, or require expert knowledge to leverage the methods’ capabilities. To address these limitations, we have overhauled NetGSA, an existing topology-based me...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8221786/ https://www.ncbi.nlm.nih.gov/pubmed/34115744 http://dx.doi.org/10.1371/journal.pcbi.1008979 |
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author | Hellstern, Michael Ma, Jing Yue, Kun Shojaie, Ali |
author_facet | Hellstern, Michael Ma, Jing Yue, Kun Shojaie, Ali |
author_sort | Hellstern, Michael |
collection | PubMed |
description | Existing software tools for topology-based pathway enrichment analysis are either computationally inefficient, have undesirable statistical power, or require expert knowledge to leverage the methods’ capabilities. To address these limitations, we have overhauled NetGSA, an existing topology-based method, to provide a computationally-efficient user-friendly tool that offers interactive visualization. Pathway enrichment analysis for thousands of genes can be performed in minutes on a personal computer without sacrificing statistical power. The new software also removes the need for expert knowledge by directly curating gene-gene interaction information from multiple external databases. Lastly, by utilizing the capabilities of Cytoscape, the new software also offers interactive and intuitive network visualization. |
format | Online Article Text |
id | pubmed-8221786 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-82217862021-07-07 netgsa: Fast computation and interactive visualization for topology-based pathway enrichment analysis Hellstern, Michael Ma, Jing Yue, Kun Shojaie, Ali PLoS Comput Biol Research Article Existing software tools for topology-based pathway enrichment analysis are either computationally inefficient, have undesirable statistical power, or require expert knowledge to leverage the methods’ capabilities. To address these limitations, we have overhauled NetGSA, an existing topology-based method, to provide a computationally-efficient user-friendly tool that offers interactive visualization. Pathway enrichment analysis for thousands of genes can be performed in minutes on a personal computer without sacrificing statistical power. The new software also removes the need for expert knowledge by directly curating gene-gene interaction information from multiple external databases. Lastly, by utilizing the capabilities of Cytoscape, the new software also offers interactive and intuitive network visualization. Public Library of Science 2021-06-11 /pmc/articles/PMC8221786/ /pubmed/34115744 http://dx.doi.org/10.1371/journal.pcbi.1008979 Text en © 2021 Hellstern et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Hellstern, Michael Ma, Jing Yue, Kun Shojaie, Ali netgsa: Fast computation and interactive visualization for topology-based pathway enrichment analysis |
title | netgsa: Fast computation and interactive visualization for topology-based pathway enrichment analysis |
title_full | netgsa: Fast computation and interactive visualization for topology-based pathway enrichment analysis |
title_fullStr | netgsa: Fast computation and interactive visualization for topology-based pathway enrichment analysis |
title_full_unstemmed | netgsa: Fast computation and interactive visualization for topology-based pathway enrichment analysis |
title_short | netgsa: Fast computation and interactive visualization for topology-based pathway enrichment analysis |
title_sort | netgsa: fast computation and interactive visualization for topology-based pathway enrichment analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8221786/ https://www.ncbi.nlm.nih.gov/pubmed/34115744 http://dx.doi.org/10.1371/journal.pcbi.1008979 |
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