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ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data
Understanding cellular metabolism is important across biotechnology and biomedical research and has critical implications in a broad range of normal and pathological conditions. Here, we introduce the user-friendly web-based platform ImmCellFie, which allows the comprehensive analysis of metabolic f...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898792/ https://www.ncbi.nlm.nih.gov/pubmed/36853701 http://dx.doi.org/10.1016/j.xpro.2023.102069 |
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author | Masson, Helen O. Borland, David Reilly, Jason Telleria, Adrian Shrivastava, Shalki Watson, Matt Bustillos, Luthfi Li, Zerong Capps, Laura Kellman, Benjamin P. King, Zachary A. Richelle, Anne Lewis, Nathan E. Robasky, Kimberly |
author_facet | Masson, Helen O. Borland, David Reilly, Jason Telleria, Adrian Shrivastava, Shalki Watson, Matt Bustillos, Luthfi Li, Zerong Capps, Laura Kellman, Benjamin P. King, Zachary A. Richelle, Anne Lewis, Nathan E. Robasky, Kimberly |
author_sort | Masson, Helen O. |
collection | PubMed |
description | Understanding cellular metabolism is important across biotechnology and biomedical research and has critical implications in a broad range of normal and pathological conditions. Here, we introduce the user-friendly web-based platform ImmCellFie, which allows the comprehensive analysis of metabolic functions inferred from transcriptomic or proteomic data. We explain how to set up a run using publicly available omics data and how to visualize the results. The ImmCellFie algorithm pushes beyond conventional statistical enrichment and incorporates complex biological mechanisms to quantify cell activity. For complete details on the use and execution of this protocol, please refer to Richelle et al. (2021).(1) |
format | Online Article Text |
id | pubmed-9898792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98987922023-02-05 ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data Masson, Helen O. Borland, David Reilly, Jason Telleria, Adrian Shrivastava, Shalki Watson, Matt Bustillos, Luthfi Li, Zerong Capps, Laura Kellman, Benjamin P. King, Zachary A. Richelle, Anne Lewis, Nathan E. Robasky, Kimberly STAR Protoc Protocol Understanding cellular metabolism is important across biotechnology and biomedical research and has critical implications in a broad range of normal and pathological conditions. Here, we introduce the user-friendly web-based platform ImmCellFie, which allows the comprehensive analysis of metabolic functions inferred from transcriptomic or proteomic data. We explain how to set up a run using publicly available omics data and how to visualize the results. The ImmCellFie algorithm pushes beyond conventional statistical enrichment and incorporates complex biological mechanisms to quantify cell activity. For complete details on the use and execution of this protocol, please refer to Richelle et al. (2021).(1) Elsevier 2023-01-25 /pmc/articles/PMC9898792/ /pubmed/36853701 http://dx.doi.org/10.1016/j.xpro.2023.102069 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Protocol Masson, Helen O. Borland, David Reilly, Jason Telleria, Adrian Shrivastava, Shalki Watson, Matt Bustillos, Luthfi Li, Zerong Capps, Laura Kellman, Benjamin P. King, Zachary A. Richelle, Anne Lewis, Nathan E. Robasky, Kimberly ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data |
title | ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data |
title_full | ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data |
title_fullStr | ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data |
title_full_unstemmed | ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data |
title_short | ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data |
title_sort | immcellfie: a user-friendly web-based platform to infer metabolic function from omics data |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898792/ https://www.ncbi.nlm.nih.gov/pubmed/36853701 http://dx.doi.org/10.1016/j.xpro.2023.102069 |
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