The erccdashboard is the first software tool of its kind designed to provide a standard turn-key solution for evaluating the technical performance of any gene expression experiment. This unique tool produces performance metrics that are independent from the type of measurement technology used for an experiment. The erccdashboard gives scientists the ability to gauge the performance of experimental methods, evaluate repeatability and reproducibility of experiments over time and between laboratories, and establish trustworthy experimental results.
Some key performance metrics provided by the erccdashboard for gene expression experiments include:
- Dynamic range;
- Diagnostic performance;
- Limit of detection of ratios;
- Ratio measurement technical variability; and
- Ratio measurement bias, including mRNA fraction differences between experimental samples.
The erccdashboard open source software is available for download here. The dashboard tool is written in the R statistical language, and can be easily incorporated into other analysis software packages.
In a Nature Communications paper published in September 2014, the authors describe the development and demonstration of the erccdashboard analysis methods.
The stable release version of the erccdashboard , which is recommended for use, is available through the Bioconductor repository.
Development Versions of the erccdashboard code and archives are available on the NIST GitHub repository.