Dear Doris,

We have stopped development of the old Excel based qBase in favor of the faster
and more user friendly qBasePlus, and can therefore no longer provide extensive
support for qBase 1.3.5. For both programs it is not required to include an
additional IRC if you are already using a cDNA standard curve as inter-run
calibrator.
In qBase, inter-run calibrators need to have the same name in all runs (both
within and across genes). If they are recognized as calibrators than their
sample name will be appended with a serial number (R1 & R2 for your experiment).
qBase is most likely able to cope with inter-run calibration if you have a
simple experimental layout, i.e. the runs look exactly the same for all your
genes.

Best regards,
Jan

--- In qBase@yahoogroups.com, "kupfer_doris" <doris.kupfer@...> wrote:
>
> Hello,
>
> I am still using qbase (hoping to upgrade one of these days) I didn't think I
could use the free version of biogazelle since I have 14 runs I wish to evaluate
together.
>
> I am having trouble however with my dataset. If you are still willing to have
a look I would appreciate your help.
>
> I have two normalizers and 5 target genes. The number of samples I have
required that I run two plates per gene. I included a control sample and a
standard curve. All samples are in triplicate. I entered the data into qbase
and was able to get what looked like a correct sample identification, plate
setup and identification of the interrun calibrators ie the control and the
standard curve samples for each run. However, the program reported that it
could not rescale, error said that no interrun calibration with NRQ data found.
Runs could not be scaled or calibrated. Couldn't group the interrun
calibrators. It appeared to me that the program was not sure how to use the
interun calibrators associated with each run between the plates showing the same
genes.
>
> I entered each qPCR plate as a run in the experiment. So each gene was in two
runs of the experiment. I tried creating the entry with different structure
such that there were two runs for each experiment and an experiment represented
a gene but found that there was not crosstalk at the project level such that
could get normalization and output of all information.
>
> Thanks for any help.
> Doris
>