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docs/geniml/tutorials/create-consensus-peaks.md

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# How to assess new universe?
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So far you used many different methods for creating new universes. But choosing, which universe represents data the best can be challenging. To help with this we created a tutorial that can be found [here](../code/assess-universe.md), which presents different methods that assess universe fit to the collection of files.
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So far you used many different methods for creating new universes. But choosing, which universe represents data the best can be challenging. To help with this we created a tutorial that can be found [here](../notebooks/assess-universe.ipynb), which presents different methods that assess universe fit to the collection of files.

docs/gtars/modules.md

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## Language Bindings
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- **[gtars-python](python.md)** - Python API bindings
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- **[gtars-python](python-overview.md)** - Python API bindings
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- **[gtars-wasm](wasm.md)** - WebAssembly bindings
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- **[gtars-cli](cli.md)** - Command-line interface

docs/gtars/refget-store-format.md

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- [GA4GH refget specification](https://samtools.github.io/hts-specs/refget.html)
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- [gtars-refget module documentation](refget.md)
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- [Python reference guide with examples](python/refget-store.md)
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- [Python bindings documentation](python.md)
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- [Python bindings documentation](python-overview.md)

docs/manuscripts/rymuza2024.md

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You can construct a universe either on the command line, or using geniml as a library:
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- [Create consensus peaks with CLI](../geniml/tutorials/create-consensus-peaks.md)
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- [Create consensus peaks with Python](../geniml/code/create-consensus-peaks-python.md)
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- [Create consensus peaks with Python](../geniml/notebooks/create-consensus-peaks-python.ipynb)
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### 2. Evaluating a universe
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mkdocs.yml

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- Python:
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- Overview: gtars/python-overview.md
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- Digests: gtars/python/digests.md
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- RefgetStore: gtars/python/refgetstore.md
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- RefgetStore Tutorial: gtars/python/refgetstore.ipynb
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- RefgetStore Python Reference: gtars/python/refget-store.md
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- Refget API Reference: gtars/python/refget-api.md

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