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1.0.1 diapysef-1.0.1-py2.py3-none-any.whl

Wheel Details

Project: diapysef
Version: 1.0.1
Filename: diapysef-1.0.1-py2.py3-none-any.whl
Download: [link]
Size: 721757
MD5: 8ab138722701186ed5b5f4611efd28c4
SHA256: afdfbd55a8c7b33a35ec6b868e4e8edb40f6fd42f5de341ed6e8ae104792ee0d
Uploaded: 2022-11-30 06:37:52 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: diapysef
Version: 1.0.1
Summary: Analysis, conversion and visualization of diaPASEF data.
Author: Max Frank, Annie Ha, Hannes Roest
Author-Email: hannes.rost[at]utoronto.ca
Home-Page: https://github.com/Roestlab/dia-pasef
License: MIT
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: statsmodels
Requires-Dist: pyopenms
Requires-Dist: patsy
Requires-Dist: tqdm
Requires-Dist: joblib
Requires-Dist: click
[Description omitted; length: 21583 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
diapysef/__init__.py sha256=LTddRuL6GpSC4S74jY4HW3686Dmw1rznNMtH5mxB6vQ 124
diapysef/conversions.py sha256=_GbsiicAyjGrzkLJBmR4tdVy6-VXggUf8ZkRAN8c55s 14918
diapysef/convert_tdf_to_mzml.py sha256=qitSZmbPoQ1RxH8pUnlov2ENsOHw0jmy9XDNFD4q860 16876
diapysef/coverage.py sha256=sulsUPQOAP4BVN0K5mKzvmIuyKDNxqPHbr8ZdYjcoDw 849
diapysef/diapysef.py sha256=2exjHWq4CzIG4ln2uZq8XxYqCe9oLbixL-d8aLJM4WQ 7988
diapysef/main.py sha256=IoD_LiR52ACgDmuGs1A5CrBjy2D3u6GENthNNlNFdp0 12714
diapysef/merge_consumer.py sha256=7OdwliaOf_xnT5Z6pG1ZRThHQEp88keB3Dvc6rhHw7s 2939
diapysef/pasefdata.py sha256=v49nM-X4mN4Ebe4-xoAlCQ56FjMdB-BE7y-NGceEXoI 6125
diapysef/plotting.py sha256=O4QPt9sOJsYXqvL4cxRPR-1aKAyepIu7dAiI-2BCFdo 8919
diapysef/proto_two_dimension_gradient_ascent_peak_finding.py sha256=F2Bs_thcE5n7GPvesaeV94OyUAwiyckbi_bDmc1H1YQ 19352
diapysef/splitting_consumer.py sha256=Nu7AfIxAIpkMRFpaa54SeaFD4_hvbdXoaDJ1cn2gWwk 1807
diapysef/targeted_data_extraction.py sha256=AyR14MPDd7P65bJd4dSUI76TgBB6IFJGpwH38JfoUMc 35004
diapysef/timsdata.py sha256=7vCrfmwo0ozxV8nNYdNBwHuxaPIB24aE6MQPw28plLM 11315
diapysef/two_dimension_gradient_ascent_peak_finder.py sha256=E6D5ahJegLJnd1FWZAURxZbqx4qcDMRxRntjdQsZoww 16229
diapysef/two_dimension_gradient_ascent_peak_finding.py sha256=4iVAQyh1GlxL_fnSKPIDUmqvM_dngYq0SumJjn5aUxY 2719
diapysef/two_dimension_quantification.py sha256=kKmD4FcrSSBTAqXakmDJPPzBdGBwqFJ39eCek8t5G_k 5323
diapysef/util.py sha256=Jcd-QfY4Nn25fTMEYEIcHHjrUAQpkYxtaxmEyDS7uRI 5631
diapysef/data/evidence_example.pickle sha256=A0UfkS4nJRrYCKdnkcStzCGhpsJJ1HawCe67GxC6yBk 3029559
diapysef-1.0.1.data/scripts/annotate_mq_ionmobility.py sha256=Y3FEXcDOSS0F8A4uR23211Cq4IbdPb0jcd5rkkHccF8 693
diapysef-1.0.1.data/scripts/convertTDFtoMzML.py sha256=VcUScob9fgVhNtPWtwzvGFH4TUpAn-hAewKfuWW2EbY 16519
diapysef-1.0.1.data/scripts/create_library.py sha256=xqca_4HZvU1JKwtJDHRaziHv1rcA4QFgYa8QJLmR-UY 4235
diapysef-1.0.1.data/scripts/get_dia_windows.py sha256=uIe8CLbcYo5RU3usmPfXgyVAUvP6Q_DUfUTV2LPRkUg 616
diapysef-1.0.1.data/scripts/high_precision_irt.py sha256=F1Xuyhr09BIFBXmlen-ktyAzKkSx2XB6_L0LgvpXv04 4497
diapysef-1.0.1.data/scripts/plot_dia_windows.py sha256=otmjCqhyVG5D-3cVDaInCoWnAz3oEdSvVc2VAaA8_a8 470
diapysef-1.0.1.dist-info/METADATA sha256=c3flbw1zyxutzrVwrEr60S_7cnzhusoQYtjpANv_j7g 23058
diapysef-1.0.1.dist-info/WHEEL sha256=z9j0xAa_JmUKMpmz72K0ZGALSM_n-wQVmGbleXx2VHg 110
diapysef-1.0.1.dist-info/entry_points.txt sha256=-1snCmXwSUOQb4U00avBKpRkH0dXSo7y1w2dMElpQcg 48
diapysef-1.0.1.dist-info/top_level.txt sha256=8m3w2zo1irmuuxCYeBYSLamcnJUyZwqx_htwKHqHXCo 9
diapysef-1.0.1.dist-info/RECORD — —

top_level.txt

diapysef

entry_points.txt

[console_scripts]
diapysef = diapysef.main:cli