Cascadia
A transformer model for de novo sequencing of data-independent acquisition mass spectrometry data
If you use Cascadia in your work, please cite the following publication:
Sanders, Justin, et al. ‘A Transformer Model for de Novo Sequencing of Data-Independent Acquisition Mass Spectrometry Data’. bioRxiv, Cold Spring Harbor Laboratory, 2024, https://doi.org/10.1101/2024.06.03.597251.
Documentation
Documentation for Cascadia is avaialable at: https://cascadia.readthedocs.io/en/latest/index.html
1 maintainer
Metadata
1 maintainer
Release files for cascadia 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cascadia-0.0.7.tar.gz | 36.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cascadia-0.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 82.0 kB
Release files / cascadia-0.0.7.tar.gz
| Download URL | cascadia-0.0.7.tar.gz |
|---|---|
| Size | 36.7 kB |
| Tags | Source |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/5.1.1 CPython/3.10.15
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Release files / cascadia-0.0.7-py3-none-any.whl
| Download URL | cascadia-0.0.7-py3-none-any.whl |
|---|---|
| Size | 45.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.15
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