Seeking one real CRISPR guide-counting validation run

[dnncha]

DotMatch 0.2.2 assigns fixed read windows to known CRISPR guides and feature
barcodes before downstream analysis. I am looking for one or two people who
work with guide-capture, perturb-seq, or a related short-DNA target set and can
try the current command on a small shareable example.

No unpublished or sensitive data is needed. A tiny synthetic or de-identified
fixture is enough.

If you try it, please report:

• the input layout and the guide/read window you expected;
• the install route and platform;
• the command you ran;
• what output or QC result you expected and what DotMatch produced; and
• the smallest change that would make the result useful in your workflow.

The getting-started guide
and CRISPR guide-counting guide
contain runnable examples. Install with pip install dotmatch or
conda install bioconda::dotmatch.

Please do not post private reads, donor information, patient data, or
unpublished guide libraries. This issue is for implementation feedback; a
reply or a package download will not be treated as proof of distinct users,
scientific adoption, or a successful biological result.

[dnncha]

Low-friction options for anyone evaluating this: launch the deterministic synthetic Binder notebook or open it in Google Colab. Colab installs the published dotmatch==0.2.2 package and fetches only the two small public synthetic fixture files.\n\nThese notebooks check mechanics only; they are not biological validation or evidence of a distinct user. If they help you decide whether to try a tiny de-identified or shareable fixture, the useful follow-up remains the expected-versus-observed command/output/QC details listed above.