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tbsp

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1.0.0 tbsp-1.0.0-py2.py3-none-any.whl

Wheel Details

Project: tbsp
Version: 1.0.0
Filename: tbsp-1.0.0-py2.py3-none-any.whl
Download: [link]
Size: 10274
MD5: e361806ca37a00fdd0703b637d8e892f
SHA256: aac48285b55b158fa115a1258e5b0c7ca22fab814b63b74381c2991aa0e96e4e
Uploaded: 2018-11-07 18:33:59 +0000

dist-info

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

METADATA

Metadata-Version: 2.0
Name: tbsp
Version: 1.0.0
Summary: SNP-based trajectory inference
Author: Jun Ding
Author-Email: jund[at]andrew.cmu.edu
Home-Page: https://github.com/phoenixding/tbsp
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Requires-Dist: scipy
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: matplotlib (<3.0,>=2.2.3)
Requires-Dist: networkx (>=2.2)
Requires-Dist: Biopython (>=1.72)
Requires-Dist: pyBigWig
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.30.0)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
tbsp/BioUtils.py sha256=s8yxCwSYJ3LgwiyOrdx6x_gLsNW3M9llriB_aPIoYuo 1376
tbsp/File.py sha256=TUMxwK1bRCV1O_iP-eJk2WwCYSZbToHbcj7tlm1cDy8 2212
tbsp/__init__.py sha256=HAJB56N58GGb23EIgIzZIGHTxBYagMO18Lx0Izx6Xck 170
tbsp/tbsp.py sha256=XmeoSjHZ0ArmlWa0XRMi5ICnXg_7WLvyXWZmaVovzv8 19902
tbsp-1.0.0.dist-info/DESCRIPTION.rst sha256=OCTuuN6LcWulhHS3d5rfjdsQtW22n7HENFRh6jC6ego 10
tbsp-1.0.0.dist-info/METADATA sha256=5kjALqdws1IVFFDyOrmCFOlbe5dFtBF9F3GfbmkB9TU 576
tbsp-1.0.0.dist-info/RECORD — —
tbsp-1.0.0.dist-info/WHEEL sha256=kdsN-5OJAZIiHN-iO4Rhl82KyS0bDWf4uBwMbkNafr8 110
tbsp-1.0.0.dist-info/entry_points.txt sha256=k5JAEHlXAQuJxhDODrTd7NZW7QYuNWLcX2mklO19maw 41
tbsp-1.0.0.dist-info/metadata.json sha256=3o5iNj9GnUabQHicw51R-hsXZ3OdHzWmDSitZNBUkQA 838
tbsp-1.0.0.dist-info/top_level.txt sha256=8RSCX5AvLclSVF6NXGNjdTYFV4FLzyG1Ne5kRB3Pl5U 5

top_level.txt

tbsp

entry_points.txt

[console_scripts]
tbsp = tbsp.tbsp:main