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20180314

mcorr-20180314-py3-none-any.whl

Wheel Details

Project:	mcorr
Version:	20180314
Filename:	mcorr-20180314-py3-none-any.whl
Download:	[link]
Size:	6028
MD5:	`7eb024505d02b74661ae0f46ac0ea795`
SHA256:	`8de8c9badc7a7b4ed4c0d9749f4b49c154c6d39a48e6fdc80a9a9262a1c10ac3`
Uploaded:	2018-03-18 17:46:54 +0000

dist-info

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

METADATA

Metadata-Version:	2.0
Name:	mcorr
Version:	20180314
Summary:	Inferring recombination rates from correlation profiles
Author:	Mingzhi Lin
Author-Email:	mingzhi9[at]gmail.com
Home-Page:	https://github.com/kussell-lab/mcorr
License:	MIT
Requires-Python:	>=3
Requires-Dist:	numpy
Requires-Dist:	matplotlib
Requires-Dist:	lmfit
Requires-Dist:	tqdm

[No description]

WHEEL

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

RECORD

Path	Digest	Size
mcorr/__init__.py	sha256=YnHJbvIiEIj4dlwZgdl1u6ieE3jPL3QuuDwh8UWBPHU	23
mcorr/cli.py	sha256=g6zTicFPLGBAUYFWsGdQw7iGAb5fln6lBWNe328y-YM	879
mcorr/fit.py	sha256=e373VgEmCnkU1QPwJro5GgSPrId5zh0nit_UqPcXdFM	10029
mcorr-20180314.dist-info/DESCRIPTION.rst	sha256=OCTuuN6LcWulhHS3d5rfjdsQtW22n7HENFRh6jC6ego	10
mcorr-20180314.dist-info/METADATA	sha256=9PvdgP-cD0YHIxHMz28trdf01pNqySjz3BdM74kFmvk	403
mcorr-20180314.dist-info/RECORD	—	—
mcorr-20180314.dist-info/WHEEL	sha256=8Lm45v9gcYRm70DrgFGVe4WsUtUMi1_0Tso1hqPGMjA	92
mcorr-20180314.dist-info/entry_points.txt	sha256=-TQ8V7Z3-BlcfuYQtz2deaSQPgWE2MFh3iR4VjY_njA	46
mcorr-20180314.dist-info/metadata.json	sha256=VdKCUtPwuF_5s50TkHZ7b9Vns3yc5IRX1fFXtNl7CHc	731
mcorr-20180314.dist-info/top_level.txt	sha256=JgCg04s4PB01v-ci-tAkxx9sso0hTLOmKq-8sDjPmMo	6

top_level.txt

mcorr

entry_points.txt

[console_scripts]

mcorr-fit = mcorr.cli:main