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Merge pull request #130 from monarch-initiative:ielis/issue83
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Update Contributing docs section
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ielis authored Jul 25, 2024
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Contributions to phenopacket store are welcome. The scope of phenopacket store comprises cohorts of indiduals with rare disease with deep phenotype as well as genotypic data.

There are many ways of contributing. For most users we recommend using the Excel template. Optionally, the corresponding python code can be used to generate phenopackets, or the HPO team can perform the conversion.
There are many ways of contributing.
For most users, we recommend using the Excel template.
Optionally, the corresponding python code can be used to generate phenopackets,
or the HPO team can perform the conversion.

- [pyphetools documentation](https://monarch-initiative.github.io/pyphetools/user-guide/template/) about using the Excel template.
- [variant notation](https://monarch-initiative.github.io/pyphetools/user-guide/variant_notation/){:target="_blank"}
- [Excel template](https://monarch-initiative.github.io/pyphetools/user-guide/excel/){:target="_blank"}
- [Python (Jupyter) notebook for the template](https://monarch-initiative.github.io/pyphetools/user-guide/python_notebook/){:target="_blank"}
- [Excel template](https://monarch-initiative.github.io/pyphetools/user-guide/excel){:target="_blank"}
- [Python (Jupyter) notebook for the template](https://monarch-initiative.github.io/pyphetools/user-guide/python_notebook){:target="_blank"}
- [pyphetools documentation](https://monarch-initiative.github.io/pyphetools/user-guide/template) about using the Excel template.
- [variant notation](https://monarch-initiative.github.io/pyphetools/user-guide/variant_notation){:target="_blank"}


### Developers

Alternatively, the [pyphetools](https://monarch-initiative.github.io/pyphetools/){:target="_blank"} library
can be used to ingest tabular data efficiently.
Almost all of the notebooks in this repository were created
from Supplemental tables from published articles using the `pyphetools` library,
Almost all of the notebooks in this repository were created from Supplemental tables from published articles using the `pyphetools` library,
and users can learn how to use it by studying the notebooks listed on the [Collections](collections.md) page.

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