ExpressionPlot: a web-based framework for analysis of RNA-Seq and microarray gene expression data
1 Department of Molecular and Cell Biology, Harvard University, 7 Divinity Ave, Cambridge, MA 02138, USA
2 The Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
3 Department of Bioinformatics and Computational Biology, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA
4 Department of Biochemistry and Molecular Biophysics, Columbia University College of Physicians and Surgeons, 701 West 168th St, New York, NY 10032, USA
Citation and License
Genome Biology 2011, 12:R69 doi:10.1186/gb-2011-12-7-r69Published: 28 July 2011
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/ webcite.