sglearn
Python package for featurizing sgRNAs for machine learning
Free software: MIT license
Documentation: https://sglearn.readthedocs.io.
Features
TODO
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.1.0 (2020-08-06)
First release on PyPI.
0.1.1 (2020-08-06)
Continuous integration setup
0.1.2 (2020-08-07)
Added functionality to featurize guides
0.1.3 (2020-09-11)
Added pam interaction feature
0.2.0 (2021-04-13)
Added PolyN feature
Added Tm guide feature
Removed return values from feature dict functions
Remove comma from Tm feature names
1.0.0 (2021-06-01)
Change DNA hybridization calculation to RNA/DNA hybridization for guide sequence
1.1.0 (2021-06-04)
Use RNA/DNA and DNA/DNA melting temperatures
1.2.0 (2021-06-08)
Add RNA/RNA melting temperatures
1.2.1 (2021-06-08)
Shrink RNA/RNA tm window for outliers
1.2.2 (2021-06-25)
Rename Tm RR to DG RR
1.2.3 (2021-06-25)
Update Travis
1.2.4 (2021-07-13)
Added parallelization
5 maintainers
Metadata
5 maintainers
Release files for sglearn 1.2.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sglearn-1.2.5.tar.gz | 12.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sglearn-1.2.5-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 18.7 kB
Release files / sglearn-1.2.5.tar.gz
| Download URL | sglearn-1.2.5.tar.gz |
|---|---|
| Size | 12.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.7
|
Release files / sglearn-1.2.5-py2.py3-none-any.whl
| Download URL | sglearn-1.2.5-py2.py3-none-any.whl |
|---|---|
| Size | 5.8 kB |
| Tags | Python 2 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/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.7
|
