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diva-seq-opt

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0.0.3 diva_seq_opt-0.0.3-py3-none-any.whl

Wheel Details

Project: diva-seq-opt
Version: 0.0.3
Filename: diva_seq_opt-0.0.3-py3-none-any.whl
Download: [link]
Size: 51177
MD5: 9850294b95c2d888e274b0f2410bec2d
SHA256: b95d6d32e4f2ceb41639879c748ffd4235e2b7c86e456aa5cbf73d0d26449a58
Uploaded: 2019-04-15 21:29:43 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: diva-seq-opt
Version: 0.0.3
Summary: Predict the library loading concentration to use for mi-seq runs based on bioanalyzer data.
Author: Zak Costello
Author-Email: zak.costello[at]gmail.com
Home-Page: https://github.com/JBEI/library_loading_concentration_prediction
License: BSD
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: peakutils
Requires-Dist: sklearn
Requires-Dist: tpot
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
diva_seq_opt/__init__.py sha256=FxRDAfrz5Nozt4N4OtXargc7_3DPI1PtEyeeofAPXaE 757
diva_seq_opt/predict_loading_concentration.py sha256=SZ5nk9XuTFn4dLtWtZVZaMQw2i5_YLj3vef8tFZ1Ilg 1208
diva_seq_opt/utility.py sha256=KGen_K8gUdfaFY7MT5WjIFcRyaavCD4B5-yo7Ib6SuY 7412
diva_seq_opt/model/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
diva_seq_opt/model/model.pkl sha256=2QFWWbzgC8_tI0KynmuQ4LREsJgKRzQpVFB-KDfxkI4 19573
diva_seq_opt/model/model30.pkl sha256=AdUEuZW_j9jnJLFKMHc06hkPsHqadg8wkuSV8ozJTAA 28048
diva_seq_opt/model/model50.pkl sha256=u5jA6ImKpZ7RlMYBgOiCdZjoqcyq-2QrNmOEB7CcR3g 114209
diva_seq_opt-0.0.3.dist-info/LICENSE.txt sha256=0AJdW8FrQsF7IIJBVLmXhIW7i0Ut9ne8XFLfUwfCaVU 1456
diva_seq_opt-0.0.3.dist-info/METADATA sha256=tU9115J0VeELVOlrU9I3RaOXjxZLoE5Fjrm0_pB2MFs 491
diva_seq_opt-0.0.3.dist-info/WHEEL sha256=U88EhGIw8Sj2_phqajeu_EAi3RAo8-C6zV3REsWbWbs 92
diva_seq_opt-0.0.3.dist-info/entry_points.txt sha256=nmnBTp_SDFXhSoEom8FStV2gcWucMbviSjD29HX7E_s 99
diva_seq_opt-0.0.3.dist-info/top_level.txt sha256=3AZGYfDhce2TVC6optFNfGbGRavqF8DLabJ-jPo5AZo 13
diva_seq_opt-0.0.3.dist-info/RECORD — —

top_level.txt

diva_seq_opt

entry_points.txt

[console_scripts]
predict_loading_concentration = diva_seq_opt.predict_loading_concentration:main