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NanoCount

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0.1a4 NanoCount-0.1a4-py3-none-any.whl

Wheel Details

Project: NanoCount
Version: 0.1a4
Filename: NanoCount-0.1a4-py3-none-any.whl
Download: [link]
Size: 6697
MD5: 5ece77f42101a468587f2fd7768dfee7
SHA256: 0fd84f167a674463bc2130bb02efb43e7bcbba15bc6fa3da9636c2d1e962249d
Uploaded: 2019-06-21 09:59:27 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: NanoCount
Version: 0.1a4
Summary: EM based transcript abundance from nanopore reads mapped to a transcriptome with minimap2
Author: Adrien Leger
Author-Email: aleg[at]ebi.ac.uk
Home-Page: https://github.com/a-slide/NanoCount
License: MIT
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.5
Requires-Dist: pysam (>=0.14.1)
Requires-Dist: pandas (>=0.23.3)
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.31.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
NanoCount/NanoCount.py sha256=HdymOnrP1m0X2NlOMQOeRDLztXc0SFZvDE8PoPKkGas 8988
NanoCount/Read.py sha256=4rOhBlqdjN1u66qez6EzlsT_-_wVYo4hpx1mbS4NNsk 2383
NanoCount/__init__.py sha256=b-9aqEKta-KFB8TN6g2SMm9h0BWcgXVfDSYPwI9sEBA 221
NanoCount/__main__.py sha256=m4Nh3x4CJ-MfF0pRn9vuF7XUklg7QAouPYoziGDelIY 2548
NanoCount/common.py sha256=X66i3ZiM9KCqBMJ_bMhafR79GlcInWgwlIJ2_sgzbEo 294
NanoCount-0.1a4.dist-info/METADATA sha256=j6fRr1si9PLxyb2jztfBEg47wOq94Wt69syD5_VltZs 636
NanoCount-0.1a4.dist-info/RECORD — —
NanoCount-0.1a4.dist-info/WHEEL sha256=NzFAKnL7g-U64xnS1s5e3mJnxKpOTeOtlXdFwS9yNXI 92
NanoCount-0.1a4.dist-info/entry_points.txt sha256=UN8YefJItvCYYbG3IsGrAoDbGUvX8ILWhlye9gJpK7Y 55
NanoCount-0.1a4.dist-info/top_level.txt sha256=xD7kJJ4mokNABs8xbMPOTTt3TtfKhj18KOVsvIo8LqM 10

top_level.txt

NanoCount

entry_points.txt

[console_scripts]
NanoCount = NanoCount.__main__:main