Technology and Experimental Protocol Developers |
Mix 2–3 components of biological interest appropriate for use to evaluate the experimental protocol/technology |
When validating experimental protocols and/or technology platforms |
Demonstrate the ability of a protocol and/or technology platform to consistently measure transcripts of interest |
Core Labs |
Repeated measures of highly-available samples |
After changes in technician, prototol, reagents, or technology platform, etc. |
Show internal consistency of output and linearity of measurements |
Identify biases |
Understand dispersion |
Informaticians |
Relevant samples, public data (eg: SEQC, this study) |
When comparing informatics analysis tools or developing new tools |
Use non-simulated benchmark datasets to determine how accurate results are. |