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StRAP: An Integrated Resource for Profiling High-Throughput Cancer Genomic Data from Stress Response Studies
The increasing availability and maturity of DNA microarray technology has led to an explosion of cancer profiling studies for identifying cancer biomarkers, and predicting treatment response. Uncovering complex relationships, however, remains the most challenging task as it requires compiling and ef...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3524254/ https://www.ncbi.nlm.nih.gov/pubmed/23284744 http://dx.doi.org/10.1371/journal.pone.0051693 |
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author | Johnson, Seth Issac, Biju Zhao, Shuping Bisht, Mohit Celiku, Orieta Tofilon, Philip Camphausen, Kevin Shankavaram, Uma |
author_facet | Johnson, Seth Issac, Biju Zhao, Shuping Bisht, Mohit Celiku, Orieta Tofilon, Philip Camphausen, Kevin Shankavaram, Uma |
author_sort | Johnson, Seth |
collection | PubMed |
description | The increasing availability and maturity of DNA microarray technology has led to an explosion of cancer profiling studies for identifying cancer biomarkers, and predicting treatment response. Uncovering complex relationships, however, remains the most challenging task as it requires compiling and efficiently querying data from various sources. Here, we describe the Stress Response Array Profiler (StRAP), an open-source, web-based resource for storage, profiling, visualization, and sharing of cancer genomic data. StRAP houses multi-cancer microarray data with major emphasis on radiotherapy studies, and takes a systems biology approach towards the integration, comparison, and cross-validation of multiple cancer profiling studies. The database is a comprehensive platform for comparative analysis of gene expression data. For effective use of arrays, we provide user-friendly and interactive visualization tools that can display the data and query results. StRAP is web-based, platform-independent, and freely accessible at http://strap.nci.nih.gov/. |
format | Online Article Text |
id | pubmed-3524254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35242542013-01-02 StRAP: An Integrated Resource for Profiling High-Throughput Cancer Genomic Data from Stress Response Studies Johnson, Seth Issac, Biju Zhao, Shuping Bisht, Mohit Celiku, Orieta Tofilon, Philip Camphausen, Kevin Shankavaram, Uma PLoS One Research Article The increasing availability and maturity of DNA microarray technology has led to an explosion of cancer profiling studies for identifying cancer biomarkers, and predicting treatment response. Uncovering complex relationships, however, remains the most challenging task as it requires compiling and efficiently querying data from various sources. Here, we describe the Stress Response Array Profiler (StRAP), an open-source, web-based resource for storage, profiling, visualization, and sharing of cancer genomic data. StRAP houses multi-cancer microarray data with major emphasis on radiotherapy studies, and takes a systems biology approach towards the integration, comparison, and cross-validation of multiple cancer profiling studies. The database is a comprehensive platform for comparative analysis of gene expression data. For effective use of arrays, we provide user-friendly and interactive visualization tools that can display the data and query results. StRAP is web-based, platform-independent, and freely accessible at http://strap.nci.nih.gov/. Public Library of Science 2012-12-17 /pmc/articles/PMC3524254/ /pubmed/23284744 http://dx.doi.org/10.1371/journal.pone.0051693 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. |
spellingShingle | Research Article Johnson, Seth Issac, Biju Zhao, Shuping Bisht, Mohit Celiku, Orieta Tofilon, Philip Camphausen, Kevin Shankavaram, Uma StRAP: An Integrated Resource for Profiling High-Throughput Cancer Genomic Data from Stress Response Studies |
title | StRAP: An Integrated Resource for Profiling High-Throughput Cancer Genomic Data from Stress Response Studies |
title_full | StRAP: An Integrated Resource for Profiling High-Throughput Cancer Genomic Data from Stress Response Studies |
title_fullStr | StRAP: An Integrated Resource for Profiling High-Throughput Cancer Genomic Data from Stress Response Studies |
title_full_unstemmed | StRAP: An Integrated Resource for Profiling High-Throughput Cancer Genomic Data from Stress Response Studies |
title_short | StRAP: An Integrated Resource for Profiling High-Throughput Cancer Genomic Data from Stress Response Studies |
title_sort | strap: an integrated resource for profiling high-throughput cancer genomic data from stress response studies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3524254/ https://www.ncbi.nlm.nih.gov/pubmed/23284744 http://dx.doi.org/10.1371/journal.pone.0051693 |
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