NanoCount

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1.1.0.post2 NanoCount-1.1.0.post2-py3-none-any.whl

Wheel Details

Project: NanoCount
Version: 1.1.0.post2
Filename: NanoCount-1.1.0.post2-py3-none-any.whl
Download: [link]
Size: 12978
MD5: 6dc8e74a66ea750d425c80a9ad8a9f3d
SHA256: 20bf0312846552d70fa9ea43d492c80a2dd56cf0c9315c5cfe8d8fb87e6a4d5b
Uploaded: 2024-10-11 11:43:56 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: NanoCount
Version: 1.1.0.post2
Summary: NanoCount estimates transcripts abundance from Oxford Nanopore *direct-RNA sequencing* datasets, using an expectation-maximization approach like RSEM, Kallisto, salmon, etc to handle the uncertainty of multi-mapping reads
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: >=3.6
Requires-Dist: tqdm (>=4.51.0)
Requires-Dist: numpy (>=1.19.4)
Requires-Dist: pysam (>=0.16.0)
Requires-Dist: pandas (>=1.1.4)
Requires-Dist: colorlog (>=4.1.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2429 characters]

WHEEL

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Generator: setuptools (75.1.0)
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Tag: py3-none-any

RECORD

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NanoCount/Read.py sha256=cnoi7PU1fDeenjodOHCPJxdqdUZZkqubmUfQRE-Lg08 3878
NanoCount/__init__.py sha256=VrXUI3TDXqSTq-jOrI-qUZQcrfqjGi5mSBTZBP917nE 416
NanoCount/__main__.py sha256=XlyTPkv64AeRuF_4bndtGrNW8iFY-xDtO8h3bzpyPR4 2450
NanoCount/common.py sha256=olP5c5tmOViqvFgGRgKiKYdj4NbqTvM-V4BT6NrgW2g 9523
NanoCount-1.1.0.post2.dist-info/LICENSE sha256=bQdzOYEZ96mZ-0OtH6eXEW9h4ep0mRJbydeBDaJNec4 1071
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NanoCount-1.1.0.post2.dist-info/top_level.txt sha256=xD7kJJ4mokNABs8xbMPOTTt3TtfKhj18KOVsvIo8LqM 10
NanoCount-1.1.0.post2.dist-info/RECORD

top_level.txt

NanoCount

entry_points.txt

NanoCount = NanoCount.__main__:main