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LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures
For the Library of Integrated Network-based Cellular Signatures (LINCS) project many gene expression signatures using the L1000 technology have been produced. The L1000 technology is a cost-effective method to profile gene expression in large scale. LINCS Canvas Browser (LCB) is an interactive HTML5...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086130/ https://www.ncbi.nlm.nih.gov/pubmed/24906883 http://dx.doi.org/10.1093/nar/gku476 |
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author | Duan, Qiaonan Flynn, Corey Niepel, Mario Hafner, Marc Muhlich, Jeremy L. Fernandez, Nicolas F. Rouillard, Andrew D. Tan, Christopher M. Chen, Edward Y. Golub, Todd R. Sorger, Peter K. Subramanian, Aravind Ma'ayan, Avi |
author_facet | Duan, Qiaonan Flynn, Corey Niepel, Mario Hafner, Marc Muhlich, Jeremy L. Fernandez, Nicolas F. Rouillard, Andrew D. Tan, Christopher M. Chen, Edward Y. Golub, Todd R. Sorger, Peter K. Subramanian, Aravind Ma'ayan, Avi |
author_sort | Duan, Qiaonan |
collection | PubMed |
description | For the Library of Integrated Network-based Cellular Signatures (LINCS) project many gene expression signatures using the L1000 technology have been produced. The L1000 technology is a cost-effective method to profile gene expression in large scale. LINCS Canvas Browser (LCB) is an interactive HTML5 web-based software application that facilitates querying, browsing and interrogating many of the currently available LINCS L1000 data. LCB implements two compacted layered canvases, one to visualize clustered L1000 expression data, and the other to display enrichment analysis results using 30 different gene set libraries. Clicking on an experimental condition highlights gene-sets enriched for the differentially expressed genes from the selected experiment. A search interface allows users to input gene lists and query them against over 100 000 conditions to find the top matching experiments. The tool integrates many resources for an unprecedented potential for new discoveries in systems biology and systems pharmacology. The LCB application is available at http://www.maayanlab.net/LINCS/LCB. Customized versions will be made part of the http://lincscloud.org and http://lincs.hms.harvard.edu websites. |
format | Online Article Text |
id | pubmed-4086130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-40861302014-12-01 LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures Duan, Qiaonan Flynn, Corey Niepel, Mario Hafner, Marc Muhlich, Jeremy L. Fernandez, Nicolas F. Rouillard, Andrew D. Tan, Christopher M. Chen, Edward Y. Golub, Todd R. Sorger, Peter K. Subramanian, Aravind Ma'ayan, Avi Nucleic Acids Res Article For the Library of Integrated Network-based Cellular Signatures (LINCS) project many gene expression signatures using the L1000 technology have been produced. The L1000 technology is a cost-effective method to profile gene expression in large scale. LINCS Canvas Browser (LCB) is an interactive HTML5 web-based software application that facilitates querying, browsing and interrogating many of the currently available LINCS L1000 data. LCB implements two compacted layered canvases, one to visualize clustered L1000 expression data, and the other to display enrichment analysis results using 30 different gene set libraries. Clicking on an experimental condition highlights gene-sets enriched for the differentially expressed genes from the selected experiment. A search interface allows users to input gene lists and query them against over 100 000 conditions to find the top matching experiments. The tool integrates many resources for an unprecedented potential for new discoveries in systems biology and systems pharmacology. The LCB application is available at http://www.maayanlab.net/LINCS/LCB. Customized versions will be made part of the http://lincscloud.org and http://lincs.hms.harvard.edu websites. Oxford University Press 2014-07-01 2014-06-06 /pmc/articles/PMC4086130/ /pubmed/24906883 http://dx.doi.org/10.1093/nar/gku476 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/3.0/), 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 | Article Duan, Qiaonan Flynn, Corey Niepel, Mario Hafner, Marc Muhlich, Jeremy L. Fernandez, Nicolas F. Rouillard, Andrew D. Tan, Christopher M. Chen, Edward Y. Golub, Todd R. Sorger, Peter K. Subramanian, Aravind Ma'ayan, Avi LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures |
title | LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures |
title_full | LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures |
title_fullStr | LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures |
title_full_unstemmed | LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures |
title_short | LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures |
title_sort | lincs canvas browser: interactive web app to query, browse and interrogate lincs l1000 gene expression signatures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086130/ https://www.ncbi.nlm.nih.gov/pubmed/24906883 http://dx.doi.org/10.1093/nar/gku476 |
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