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SigCom LINCS: data and metadata search engine for a million gene expression signatures

Millions of transcriptome samples were generated by the Library of Integrated Network-based Cellular Signatures (LINCS) program. When these data are processed into searchable signatures along with signatures extracted from Genotype-Tissue Expression (GTEx) and Gene Expression Omnibus (GEO), connecti...

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Autores principales: Evangelista, John Erol, Clarke, Daniel J B, Xie, Zhuorui, Lachmann, Alexander, Jeon, Minji, Chen, Kerwin, Jagodnik, Kathleen M, Jenkins, Sherry L, Kuleshov, Maxim V, Wojciechowicz, Megan L, Schürer, Stephan C, Medvedovic, Mario, Ma’ayan, Avi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252724/
https://www.ncbi.nlm.nih.gov/pubmed/35524556
http://dx.doi.org/10.1093/nar/gkac328
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author Evangelista, John Erol
Clarke, Daniel J B
Xie, Zhuorui
Lachmann, Alexander
Jeon, Minji
Chen, Kerwin
Jagodnik, Kathleen M
Jenkins, Sherry L
Kuleshov, Maxim V
Wojciechowicz, Megan L
Schürer, Stephan C
Medvedovic, Mario
Ma’ayan, Avi
author_facet Evangelista, John Erol
Clarke, Daniel J B
Xie, Zhuorui
Lachmann, Alexander
Jeon, Minji
Chen, Kerwin
Jagodnik, Kathleen M
Jenkins, Sherry L
Kuleshov, Maxim V
Wojciechowicz, Megan L
Schürer, Stephan C
Medvedovic, Mario
Ma’ayan, Avi
author_sort Evangelista, John Erol
collection PubMed
description Millions of transcriptome samples were generated by the Library of Integrated Network-based Cellular Signatures (LINCS) program. When these data are processed into searchable signatures along with signatures extracted from Genotype-Tissue Expression (GTEx) and Gene Expression Omnibus (GEO), connections between drugs, genes, pathways and diseases can be illuminated. SigCom LINCS is a webserver that serves over a million gene expression signatures processed, analyzed, and visualized from LINCS, GTEx, and GEO. SigCom LINCS is built with Signature Commons, a cloud-agnostic skeleton Data Commons with a focus on serving searchable signatures. SigCom LINCS provides a rapid signature similarity search for mimickers and reversers given sets of up and down genes, a gene set, a single gene, or any search term. Additionally, users of SigCom LINCS can perform a metadata search to find and analyze subsets of signatures and find information about genes and drugs. SigCom LINCS is findable, accessible, interoperable, and reusable (FAIR) with metadata linked to standard ontologies and vocabularies. In addition, all the data and signatures within SigCom LINCS are available via a well-documented API. In summary, SigCom LINCS, available at https://maayanlab.cloud/sigcom-lincs, is a rich webserver resource for accelerating drug and target discovery in systems pharmacology.
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spelling pubmed-92527242022-07-05 SigCom LINCS: data and metadata search engine for a million gene expression signatures Evangelista, John Erol Clarke, Daniel J B Xie, Zhuorui Lachmann, Alexander Jeon, Minji Chen, Kerwin Jagodnik, Kathleen M Jenkins, Sherry L Kuleshov, Maxim V Wojciechowicz, Megan L Schürer, Stephan C Medvedovic, Mario Ma’ayan, Avi Nucleic Acids Res Web Server Issue Millions of transcriptome samples were generated by the Library of Integrated Network-based Cellular Signatures (LINCS) program. When these data are processed into searchable signatures along with signatures extracted from Genotype-Tissue Expression (GTEx) and Gene Expression Omnibus (GEO), connections between drugs, genes, pathways and diseases can be illuminated. SigCom LINCS is a webserver that serves over a million gene expression signatures processed, analyzed, and visualized from LINCS, GTEx, and GEO. SigCom LINCS is built with Signature Commons, a cloud-agnostic skeleton Data Commons with a focus on serving searchable signatures. SigCom LINCS provides a rapid signature similarity search for mimickers and reversers given sets of up and down genes, a gene set, a single gene, or any search term. Additionally, users of SigCom LINCS can perform a metadata search to find and analyze subsets of signatures and find information about genes and drugs. SigCom LINCS is findable, accessible, interoperable, and reusable (FAIR) with metadata linked to standard ontologies and vocabularies. In addition, all the data and signatures within SigCom LINCS are available via a well-documented API. In summary, SigCom LINCS, available at https://maayanlab.cloud/sigcom-lincs, is a rich webserver resource for accelerating drug and target discovery in systems pharmacology. Oxford University Press 2022-05-07 /pmc/articles/PMC9252724/ /pubmed/35524556 http://dx.doi.org/10.1093/nar/gkac328 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Web Server Issue
Evangelista, John Erol
Clarke, Daniel J B
Xie, Zhuorui
Lachmann, Alexander
Jeon, Minji
Chen, Kerwin
Jagodnik, Kathleen M
Jenkins, Sherry L
Kuleshov, Maxim V
Wojciechowicz, Megan L
Schürer, Stephan C
Medvedovic, Mario
Ma’ayan, Avi
SigCom LINCS: data and metadata search engine for a million gene expression signatures
title SigCom LINCS: data and metadata search engine for a million gene expression signatures
title_full SigCom LINCS: data and metadata search engine for a million gene expression signatures
title_fullStr SigCom LINCS: data and metadata search engine for a million gene expression signatures
title_full_unstemmed SigCom LINCS: data and metadata search engine for a million gene expression signatures
title_short SigCom LINCS: data and metadata search engine for a million gene expression signatures
title_sort sigcom lincs: data and metadata search engine for a million gene expression signatures
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252724/
https://www.ncbi.nlm.nih.gov/pubmed/35524556
http://dx.doi.org/10.1093/nar/gkac328
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