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An interactive web-based application for Comprehensive Analysis of RNAi-screen Data
RNAi screens are widely used in functional genomics. Although the screen data can be susceptible to a number of experimental biases, many of these can be corrected by computational analysis. For this purpose, here we have developed a web-based platform for integrated analysis and visualization of RN...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5477503/ https://www.ncbi.nlm.nih.gov/pubmed/26902267 http://dx.doi.org/10.1038/ncomms10578 |
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author | Dutta, Bhaskar Azhir, Alaleh Merino, Louis-Henri Guo, Yongjian Revanur, Swetha Madhamshettiwar, Piyush B. Germain, Ronald N. Smith, Jennifer A. Simpson, Kaylene J. Martin, Scott E. Beuhler, Eugen Fraser, Iain D. C. |
author_facet | Dutta, Bhaskar Azhir, Alaleh Merino, Louis-Henri Guo, Yongjian Revanur, Swetha Madhamshettiwar, Piyush B. Germain, Ronald N. Smith, Jennifer A. Simpson, Kaylene J. Martin, Scott E. Beuhler, Eugen Fraser, Iain D. C. |
author_sort | Dutta, Bhaskar |
collection | PubMed |
description | RNAi screens are widely used in functional genomics. Although the screen data can be susceptible to a number of experimental biases, many of these can be corrected by computational analysis. For this purpose, here we have developed a web-based platform for integrated analysis and visualization of RNAi screen data named CARD (for Comprehensive Analysis of RNAi Data; available at https://card.niaid.nih.gov). CARD allows the user to seamlessly carry out sequential steps in a rigorous data analysis workflow, including normalization, off-target analysis, integration of gene expression data, optimal thresholds for hit selection and network/pathway analysis. To evaluate the utility of CARD, we describe analysis of three genome-scale siRNA screens and demonstrate: (i) a significant increase both in selection of subsequently validated hits and in rejection of false positives, (ii) an increased overlap of hits from independent screens of the same biology and (iii) insight to microRNA (miRNA) activity based on siRNA seed enrichment. |
format | Online Article Text |
id | pubmed-5477503 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-54775032017-07-03 An interactive web-based application for Comprehensive Analysis of RNAi-screen Data Dutta, Bhaskar Azhir, Alaleh Merino, Louis-Henri Guo, Yongjian Revanur, Swetha Madhamshettiwar, Piyush B. Germain, Ronald N. Smith, Jennifer A. Simpson, Kaylene J. Martin, Scott E. Beuhler, Eugen Fraser, Iain D. C. Nat Commun Article RNAi screens are widely used in functional genomics. Although the screen data can be susceptible to a number of experimental biases, many of these can be corrected by computational analysis. For this purpose, here we have developed a web-based platform for integrated analysis and visualization of RNAi screen data named CARD (for Comprehensive Analysis of RNAi Data; available at https://card.niaid.nih.gov). CARD allows the user to seamlessly carry out sequential steps in a rigorous data analysis workflow, including normalization, off-target analysis, integration of gene expression data, optimal thresholds for hit selection and network/pathway analysis. To evaluate the utility of CARD, we describe analysis of three genome-scale siRNA screens and demonstrate: (i) a significant increase both in selection of subsequently validated hits and in rejection of false positives, (ii) an increased overlap of hits from independent screens of the same biology and (iii) insight to microRNA (miRNA) activity based on siRNA seed enrichment. Nature Publishing Group 2016-02-23 /pmc/articles/PMC5477503/ /pubmed/26902267 http://dx.doi.org/10.1038/ncomms10578 Text en Copyright © 2016, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Dutta, Bhaskar Azhir, Alaleh Merino, Louis-Henri Guo, Yongjian Revanur, Swetha Madhamshettiwar, Piyush B. Germain, Ronald N. Smith, Jennifer A. Simpson, Kaylene J. Martin, Scott E. Beuhler, Eugen Fraser, Iain D. C. An interactive web-based application for Comprehensive Analysis of RNAi-screen Data |
title | An interactive web-based application for Comprehensive Analysis of RNAi-screen Data |
title_full | An interactive web-based application for Comprehensive Analysis of RNAi-screen Data |
title_fullStr | An interactive web-based application for Comprehensive Analysis of RNAi-screen Data |
title_full_unstemmed | An interactive web-based application for Comprehensive Analysis of RNAi-screen Data |
title_short | An interactive web-based application for Comprehensive Analysis of RNAi-screen Data |
title_sort | interactive web-based application for comprehensive analysis of rnai-screen data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5477503/ https://www.ncbi.nlm.nih.gov/pubmed/26902267 http://dx.doi.org/10.1038/ncomms10578 |
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