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Connecting omics signatures and revealing biological mechanisms with iLINCS
There are only a few platforms that integrate multiple omics data types, bioinformatics tools, and interfaces for integrative analyses and visualization that do not require programming skills. Here we present iLINCS (http://ilincs.org), an integrative web-based platform for analysis of omics data an...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362980/ https://www.ncbi.nlm.nih.gov/pubmed/35945222 http://dx.doi.org/10.1038/s41467-022-32205-3 |
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author | Pilarczyk, Marcin Fazel-Najafabadi, Mehdi Kouril, Michal Shamsaei, Behrouz Vasiliauskas, Juozas Niu, Wen Mahi, Naim Zhang, Lixia Clark, Nicholas A. Ren, Yan White, Shana Karim, Rashid Xu, Huan Biesiada, Jacek Bennett, Mark F. Davidson, Sarah E. Reichard, John F. Roberts, Kurt Stathias, Vasileios Koleti, Amar Vidovic, Dusica Clarke, Daniel J. B. Schürer, Stephan C. Ma’ayan, Avi Meller, Jarek Medvedovic, Mario |
author_facet | Pilarczyk, Marcin Fazel-Najafabadi, Mehdi Kouril, Michal Shamsaei, Behrouz Vasiliauskas, Juozas Niu, Wen Mahi, Naim Zhang, Lixia Clark, Nicholas A. Ren, Yan White, Shana Karim, Rashid Xu, Huan Biesiada, Jacek Bennett, Mark F. Davidson, Sarah E. Reichard, John F. Roberts, Kurt Stathias, Vasileios Koleti, Amar Vidovic, Dusica Clarke, Daniel J. B. Schürer, Stephan C. Ma’ayan, Avi Meller, Jarek Medvedovic, Mario |
author_sort | Pilarczyk, Marcin |
collection | PubMed |
description | There are only a few platforms that integrate multiple omics data types, bioinformatics tools, and interfaces for integrative analyses and visualization that do not require programming skills. Here we present iLINCS (http://ilincs.org), an integrative web-based platform for analysis of omics data and signatures of cellular perturbations. The platform facilitates mining and re-analysis of the large collection of omics datasets (>34,000), pre-computed signatures (>200,000), and their connections, as well as the analysis of user-submitted omics signatures of diseases and cellular perturbations. iLINCS analysis workflows integrate vast omics data resources and a range of analytics and interactive visualization tools into a comprehensive platform for analysis of omics signatures. iLINCS user-friendly interfaces enable execution of sophisticated analyses of omics signatures, mechanism of action analysis, and signature-driven drug repositioning. We illustrate the utility of iLINCS with three use cases involving analysis of cancer proteogenomic signatures, COVID 19 transcriptomic signatures and mTOR signaling. |
format | Online Article Text |
id | pubmed-9362980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93629802022-08-10 Connecting omics signatures and revealing biological mechanisms with iLINCS Pilarczyk, Marcin Fazel-Najafabadi, Mehdi Kouril, Michal Shamsaei, Behrouz Vasiliauskas, Juozas Niu, Wen Mahi, Naim Zhang, Lixia Clark, Nicholas A. Ren, Yan White, Shana Karim, Rashid Xu, Huan Biesiada, Jacek Bennett, Mark F. Davidson, Sarah E. Reichard, John F. Roberts, Kurt Stathias, Vasileios Koleti, Amar Vidovic, Dusica Clarke, Daniel J. B. Schürer, Stephan C. Ma’ayan, Avi Meller, Jarek Medvedovic, Mario Nat Commun Article There are only a few platforms that integrate multiple omics data types, bioinformatics tools, and interfaces for integrative analyses and visualization that do not require programming skills. Here we present iLINCS (http://ilincs.org), an integrative web-based platform for analysis of omics data and signatures of cellular perturbations. The platform facilitates mining and re-analysis of the large collection of omics datasets (>34,000), pre-computed signatures (>200,000), and their connections, as well as the analysis of user-submitted omics signatures of diseases and cellular perturbations. iLINCS analysis workflows integrate vast omics data resources and a range of analytics and interactive visualization tools into a comprehensive platform for analysis of omics signatures. iLINCS user-friendly interfaces enable execution of sophisticated analyses of omics signatures, mechanism of action analysis, and signature-driven drug repositioning. We illustrate the utility of iLINCS with three use cases involving analysis of cancer proteogenomic signatures, COVID 19 transcriptomic signatures and mTOR signaling. Nature Publishing Group UK 2022-08-09 /pmc/articles/PMC9362980/ /pubmed/35945222 http://dx.doi.org/10.1038/s41467-022-32205-3 Text en © The Author(s) 2022 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 Pilarczyk, Marcin Fazel-Najafabadi, Mehdi Kouril, Michal Shamsaei, Behrouz Vasiliauskas, Juozas Niu, Wen Mahi, Naim Zhang, Lixia Clark, Nicholas A. Ren, Yan White, Shana Karim, Rashid Xu, Huan Biesiada, Jacek Bennett, Mark F. Davidson, Sarah E. Reichard, John F. Roberts, Kurt Stathias, Vasileios Koleti, Amar Vidovic, Dusica Clarke, Daniel J. B. Schürer, Stephan C. Ma’ayan, Avi Meller, Jarek Medvedovic, Mario Connecting omics signatures and revealing biological mechanisms with iLINCS |
title | Connecting omics signatures and revealing biological mechanisms with iLINCS |
title_full | Connecting omics signatures and revealing biological mechanisms with iLINCS |
title_fullStr | Connecting omics signatures and revealing biological mechanisms with iLINCS |
title_full_unstemmed | Connecting omics signatures and revealing biological mechanisms with iLINCS |
title_short | Connecting omics signatures and revealing biological mechanisms with iLINCS |
title_sort | connecting omics signatures and revealing biological mechanisms with ilincs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362980/ https://www.ncbi.nlm.nih.gov/pubmed/35945222 http://dx.doi.org/10.1038/s41467-022-32205-3 |
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