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ExpressionPlot: a web-based framework for analysis of RNA-Seq and microarray gene expression data
RNA-Seq and microarray platforms have emerged as important tools for detecting changes in gene expression and RNA processing in biological samples. We present ExpressionPlot, a software package consisting of a default back end, which prepares raw sequencing or Affymetrix microarray data, and a web-b...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3218831/ https://www.ncbi.nlm.nih.gov/pubmed/21797991 http://dx.doi.org/10.1186/gb-2011-12-7-r69 |
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author | Friedman, Brad A Maniatis, Tom |
author_facet | Friedman, Brad A Maniatis, Tom |
author_sort | Friedman, Brad A |
collection | PubMed |
description | RNA-Seq and microarray platforms have emerged as important tools for detecting changes in gene expression and RNA processing in biological samples. We present ExpressionPlot, a software package consisting of a default back end, which prepares raw sequencing or Affymetrix microarray data, and a web-based front end, which offers a biologically centered interface to browse, visualize, and compare different data sets. Download and installation instructions, a user's manual, discussion group, and a prototype are available at http://expressionplot.com/. |
format | Online Article Text |
id | pubmed-3218831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32188312011-11-18 ExpressionPlot: a web-based framework for analysis of RNA-Seq and microarray gene expression data Friedman, Brad A Maniatis, Tom Genome Biol Software RNA-Seq and microarray platforms have emerged as important tools for detecting changes in gene expression and RNA processing in biological samples. We present ExpressionPlot, a software package consisting of a default back end, which prepares raw sequencing or Affymetrix microarray data, and a web-based front end, which offers a biologically centered interface to browse, visualize, and compare different data sets. Download and installation instructions, a user's manual, discussion group, and a prototype are available at http://expressionplot.com/. BioMed Central 2011 2011-07-28 /pmc/articles/PMC3218831/ /pubmed/21797991 http://dx.doi.org/10.1186/gb-2011-12-7-r69 Text en Copyright ©2011 Friedman and Maniatis; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Friedman, Brad A Maniatis, Tom ExpressionPlot: a web-based framework for analysis of RNA-Seq and microarray gene expression data |
title | ExpressionPlot: a web-based framework for analysis of RNA-Seq and microarray gene expression data |
title_full | ExpressionPlot: a web-based framework for analysis of RNA-Seq and microarray gene expression data |
title_fullStr | ExpressionPlot: a web-based framework for analysis of RNA-Seq and microarray gene expression data |
title_full_unstemmed | ExpressionPlot: a web-based framework for analysis of RNA-Seq and microarray gene expression data |
title_short | ExpressionPlot: a web-based framework for analysis of RNA-Seq and microarray gene expression data |
title_sort | expressionplot: a web-based framework for analysis of rna-seq and microarray gene expression data |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3218831/ https://www.ncbi.nlm.nih.gov/pubmed/21797991 http://dx.doi.org/10.1186/gb-2011-12-7-r69 |
work_keys_str_mv | AT friedmanbrada expressionplotawebbasedframeworkforanalysisofrnaseqandmicroarraygeneexpressiondata AT maniatistom expressionplotawebbasedframeworkforanalysisofrnaseqandmicroarraygeneexpressiondata |