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Xpression — An intergrated RNA-seq pipeline¶
Xpression is a RNA-seq analysis pipeline that uses free and open technologies to create gene expression profiles, mapping statistics and visualization files from next-gen sequencing data in a fast, flexible manner. Xpression is designed to be an easy-to-use, integrated solution for processing next-gen sequencing data derived from various types of samples, such as samples mapped to draft genomes and multiplexed samples.
Automated steps include quality filtering for sequencing and mapping, and gene expression profiling and normalization. It is especially well suited for analysis of bacterial sequence data.
Xpression can be run from command-line or from a GUI. The GUI is relatively intuitive and simple, allowing the running and queuing of multiple samples quickly and easily.
Once supporting software is installed, all you will need to start using Xpression is the Xpression GUI.
Depending on your system capabilites, Xpression is available in a number of forms. To obtain a file, first right-click, and then choose ‘Save As’ to save the file to your computer.
Xpression requires a UNIX-like environment, such as Linux or MacOSX and recent versions of:
See Installation for details.
An environment configured for running Xpression is provided for those who do not have access to a Linux system or the capacity to install the needed software. Xpression VE is a graphical virtual environment that can be run in free software such as Oracle’s VirtualBox using all point-and-click control.
See Xpression Virtual Environment for details.
We also have a Amazon virtual image that is configured to run the command-line version of Xpression. It is built on the standard Amazon linux image for safety and stability, and contains the latest version of Xpression, as well as supporting software.
Feature requests and bug reporting¶
If there are features you think would improve Xpression or meet your research’s needs, or if there are issues or bugs that need to be resolved, please visit the code’s issue tracker. Bugs and feature requests can be more easily addressed there, as well as finding updates and news about Xpression.
Please cite the following when you use our software:
Phattarasukol S, Radey M, Lappala C, Oda Y, Hirakawa H, Brittnacher M, and Harwood CS. 2012. Identification of a p-coumarate degradation regulon in Rhoodopseudomonas palustris using Xpression, an integrated tool for prokaryotic RNA-seq data processing. Appl. Environ. Microbiol. In press.