Wheelodex » Projects » iPRESTO

iPRESTO

View on PyPI — Reverse Dependencies (0)

1.0.3 iPRESTO-1.0.3-py3-none-any.whl

Wheel Details

Project: iPRESTO
Version: 1.0.3
Filename: iPRESTO-1.0.3-py3-none-any.whl
Download: [link]
Size: 185811
MD5: fb47e5c2dba4f825ef4780c49a7e29d4
SHA256: 4db976a9d996334e06151bbe141e9503c9d5a3352a9cc1ab6a87cd8b11619f04
Uploaded: 2020-01-09 18:38:35 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: iPRESTO
Version: 1.0.3
Summary: Detection of biosynthetic sub-clusters
Author: Joris Louwen
Author-Email: jorislouwen[at]hotmail.com
Home-Page: https://git.wageningenur.nl/bioinformatics/iPRESTO
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU Affero General Public License v3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Requires-Dist: biopython
Requires-Dist: matplotlib
Requires-Dist: networkx
Requires-Dist: numpy
Requires-Dist: gensim
Requires-Dist: pyLDAvis
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: seaborn
Requires-Dist: statsmodels
Requires-Dist: sympy
Description-Content-Type: text/markdown
[Description omitted; length: 4898 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.6)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
auxiliary_scripts/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
auxiliary_scripts/add_tc_score.py sha256=ApkuTd4faTChz7CnnCnfTRbVSFi5Vg-9hKgG5FzasRs 3431
auxiliary_scripts/alter_pfamsjs.py sha256=JKroHy0kV43vIz71oyQxDw4mPBeRmcXL0FlaBKsvuZ8 3832
auxiliary_scripts/check_domstats_overlap.py sha256=qrprUQ5FjSqKWlqI7ewrnUhx5M5wii0EmhBWQU5D66U 2438
auxiliary_scripts/convert2json.py sha256=qQTthRlUMHUswFQ3xzTdN_w_NVq49h-bZdSPuWnYQ6g 5684
auxiliary_scripts/extr_domhits_from_domtab.py sha256=ASZCHjWbzFm4XFf998Aircq6_-c2WTjS1aLQxTGeSA0 2077
auxiliary_scripts/fetch_ncbi_genomes_mgb.py sha256=kvuQN_t54LE_lcoPBhLAE6M0E_eJyYAYYhM3ewWccAw 5765
auxiliary_scripts/get_antismash_classes.py sha256=QwoMiuW9K8TKblHnbuj4xt-z3PyuvETSWbcOi2JRTtQ 3950
auxiliary_scripts/get_classes.py sha256=fGCgWYN6GX8YkMMEuXuXk_nVgVYRkCD_iRP6dN46xE0 487
auxiliary_scripts/link_mods_bgcs.py sha256=DDhrWJ7EKDcdgbHSSw_DD5UBJgXmH1bklhcf80KaHo8 4390
auxiliary_scripts/link_subcluster_ids.py sha256=PLtNpYYKCHtSRm4Qy1NKLi6wR0HbUL33qi1-NpaauH0 3529
auxiliary_scripts/make_arrower_from_jsons.py sha256=4eslMPcZk_iu7vScvKTOASZz7nmsC4HYFy2CKAEUh8M 3347
auxiliary_scripts/parse_dom.py sha256=u5FfqulN1ziizxOse1Vvtp4oO5xopuoPMOO4MHr71dU 2434
auxiliary_scripts/parse_json2clusterfile.py sha256=ns63f_rs5UHwnRJl3CUQ8yUOTGr8TfCY9ZaiGGp2J1s 6460
auxiliary_scripts/plot_convergence.py sha256=_HyAsSj-Ch9j-Tf3ZaQ3DKJrBQGmAQhEePXd9cA8oto 874
auxiliary_scripts/replace_domains.py sha256=aSbO78D0VqK9mUjn86FU4TwcS9uNORzHJ5EsTx4dbdI 1718
auxiliary_scripts/run_multiple_lda.py sha256=mK7Dl9_g-wcpp4bNxRCNfomDQHhZyPi_HlYZaUkUS3E 1534
correlation_analysis/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
correlation_analysis/correlate_molecular_motifs_to_subclusters.py sha256=cICbjY0pbkkwwOlOw2bYi10VE78gdT9H9Ni_gFmmboM 22632
correlation_analysis/extract_crusemann_topic_matches.py sha256=pCHaTirF3mvjm5-q18X1N9lmYtBP7h6JoPq-yID5IaE 5735
iPRESTO-1.0.3.data/scripts/add_tc_score.py sha256=BvgxWahyDOC5QMFZXzu1SKIvzhVn9mzrgUDUxFtjUGk 3417
iPRESTO-1.0.3.data/scripts/alter_pfamsjs.py sha256=CTT_0ZSLoRqTksyD54Bsrc7vYhX9RWKY1yhQNMbL8nI 3818
iPRESTO-1.0.3.data/scripts/bgc_to_pfam.py sha256=B5GeKcG8NtG-sQc7zqsY0ciHl6K6O43NYw_K-OQHUqQ 3604
iPRESTO-1.0.3.data/scripts/check_domstats_overlap.py sha256=alPsTyhQYTShC4MIbL1LDU9BML8ctsHpAD2mU-EzrLk 2424
iPRESTO-1.0.3.data/scripts/cluster_families.py sha256=SPRfFzOZcLZqRfea7ccMDuESwhGkFkFvezQJnnhnvEU 16588
iPRESTO-1.0.3.data/scripts/cluster_stat_modules.py sha256=6TMLOWUkpeZ0gvhu_WhtvrU60yXkPVAd_V3Bi_O0jpM 12682
iPRESTO-1.0.3.data/scripts/convert2json.py sha256=hPLyfbNdzZFntm5OxDVb4Z5mqiBB046MYpJej0WvuI8 5670
iPRESTO-1.0.3.data/scripts/correlate_molecular_motifs_to_subclusters.py sha256=H1uBCNjOqZO7IqsKKYrWgb5lUxVvn56xX65gXuOqwl4 22618
iPRESTO-1.0.3.data/scripts/extr_domhits_from_domtab.py sha256=FdPacM7tXO3_cDff1J5JdrGMwq04Da5CUSHXSs065iM 2063
iPRESTO-1.0.3.data/scripts/extract_crusemann_topic_matches.py sha256=MYsPHh0wGmVKR95YiIIqUl_uzidpRv11OGL_VBNdZO8 5721
iPRESTO-1.0.3.data/scripts/fetch_ncbi_genomes_mgb.py sha256=bc9uQBLfxJsxeAVVpCIMVrmH63shQwEnBlfHRgZ52uo 5751
iPRESTO-1.0.3.data/scripts/filter_bgcs.py sha256=JJhqD2KDIAeA1lg_3Y4YZpymypWSiteGmyTDCA2RdOI 3854
iPRESTO-1.0.3.data/scripts/filter_statistical_method.py sha256=ZRseCmUvvGmB4imNxQYEeWWOz-8Fw8i2rzX3GEkPdJg 4375
iPRESTO-1.0.3.data/scripts/get_antismash_classes.py sha256=KOp0VcdgflacT51_O__GOX6W32WH2IlRO27IAMaWXrQ 3936
iPRESTO-1.0.3.data/scripts/get_classes.py sha256=2_RyQlHB_01manjOgFZcUfF48cHikduGu_2UEi3F9BU 473
iPRESTO-1.0.3.data/scripts/link_mods_bgcs.py sha256=OPmv9nb6uByA7JaATSsgZpDFyIN3CKTxsrSqacMwpLk 4376
iPRESTO-1.0.3.data/scripts/link_statistical_modules2subclusterblast.py sha256=zwj-cut0lNQ0o79m7X0YqQslWZVmnMNo6pESifGKeDs 9278
iPRESTO-1.0.3.data/scripts/link_subcluster_ids.py sha256=Bv4TEPyZCaTVSdibbO9REyOtT9Ms5GWSAqLf2-n9-BU 3515
iPRESTO-1.0.3.data/scripts/list_stat_modules.py sha256=V-NO1kGNM3FkdesVK-w0gHO-palzaMj35FB5e8h90oY 3073
iPRESTO-1.0.3.data/scripts/make_arrower_from_jsons.py sha256=swPZQDQIfLgnHNWrpy8wvk0YarZeOmAquEFGlrA7Sa0 3333
iPRESTO-1.0.3.data/scripts/parent_modules.py sha256=r27CA2yXxPFvz5DPwu-4iVfIBw1H_qlIYNULWwlshJk 6822
iPRESTO-1.0.3.data/scripts/parent_modules_clans.py sha256=v0Tebunc7q6INI5Q6HzYpLw_Pj-WtwnPxXa0Hjdmq_o 6881
iPRESTO-1.0.3.data/scripts/parse_dom.py sha256=Cgt-XlFBrQsW6QObo58oarCoqlcGs_l_xMHqL2RQfqw 2420
iPRESTO-1.0.3.data/scripts/parse_json2clusterfile.py sha256=4U62qqTlSb3bh7AhBCK7ZjqbmXQnCscWvIfmf7iwOWE 6446
iPRESTO-1.0.3.data/scripts/plot_convergence.py sha256=cWyekoOgIp8uBx12zAw1cTPzn1YaUbegY-mgPuVYTpQ 860
iPRESTO-1.0.3.data/scripts/preprocessing_bgcs.py sha256=MYJtfaOCiA52PkyXCVYYih1ZxgBPxUiqoFwVWXWYHbQ 7076
iPRESTO-1.0.3.data/scripts/presto_stat.py sha256=Ky3qAWAXsQwbKihrmJuD3nJrhzbbeI2UuqzLTGGthSk 32768
iPRESTO-1.0.3.data/scripts/presto_top.py sha256=P6trgugbel8D6Dq45fjiipfuxfkupjSW5oYbqontVtM 32768
iPRESTO-1.0.3.data/scripts/query_statistical_modules.py sha256=-vLqV6cEHtZKIf27BG-8dIBh6_eVLql9fnayYz_Z-XI 4358
iPRESTO-1.0.3.data/scripts/replace_domains.py sha256=GEdZvbBuuw8HSVpg1WENZy07_9gYVJBcgkTSHXhOhx8 1704
iPRESTO-1.0.3.data/scripts/run_multiple_lda.py sha256=0aWlwNRn296SSpsKcxpplEgMr9Rqy3rfqJtgn8miRvo 1520
iPRESTO-1.0.3.data/scripts/setup.py sha256=H5EA4KwwjFTukgOFzinBf6h-U1_PA1t1J6t10DOuepE 1149
iPRESTO-1.0.3.data/scripts/subcluster_arrower.py sha256=mZm6YCUh5xW1Qe1-wDMqeowl66N7w9Yec2xTkBzmb5g 32768
presto_stat/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
presto_stat/cluster_families.py sha256=oW7XCXiuQTFV0diw9G2S7PgmYc-N05j7Bgqw94VxpFI 16602
presto_stat/cluster_stat_modules.py sha256=eG3se2yT7YFY54eUw_nT6IMOSYvYgSIGKtq4mqz8Koc 12696
presto_stat/filter_statistical_method.py sha256=nMkHXtUNG_Qh6AmzPDhUYu32g6oE-LXGqxXfUkjJebI 4389
presto_stat/link_statistical_modules2subclusterblast.py sha256=P2bYjPvILE-A8INPm6QLhPhmHRM4gMpvJguLvJvhW9k 9292
presto_stat/list_stat_modules.py sha256=r0l4Fj9rTmgj2P1er5V6ad_HoEyoTv0TfJngv62fo-8 3087
presto_stat/parent_modules.py sha256=I3Y0Bc2raGEZwW1CJiFJJzZJ3COjrWVeloViy4CgAoA 6836
presto_stat/parent_modules_clans.py sha256=OT3nYgHHMaQwyBLXU7naQonopaoe4CR-thf6jcCnVhk 6895
presto_stat/presto_stat.py sha256=3Zw1G4Vh9Bdfp5wWNP8zCVCDxVdNf8wKkhhqm0fxa14 57895
presto_stat/query_statistical_modules.py sha256=x_6RYmq00l7nPIMykpyYWnmRSA5ATWNVy5aJ8n_MKng 4372
presto_top/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
presto_top/presto_top.py sha256=iNaKh6wCbj7ETdFmzOZzG6o3TEVL2-ZO-hMV1uCC5nQ 45882
iPRESTO-1.0.3.dist-info/LICENSE sha256=yd81bqcmh-BThSANe44UnSX4H7Pbyi0S01iLA9upowA 34452
iPRESTO-1.0.3.dist-info/METADATA sha256=4BkA_HVvb7R6wo9GlFaRf3CR8xKY-rdsTsJDNCTw_es 5644
iPRESTO-1.0.3.dist-info/WHEEL sha256=p46_5Uhzqz6AzeSosiOnxK-zmFja1i22CrQCjmYe8ec 92
iPRESTO-1.0.3.dist-info/top_level.txt sha256=UpeuKiTG7gPBnyDNBa_XuJNtbax8JhL77xqRSzRmq1A 62
iPRESTO-1.0.3.dist-info/RECORD — —

top_level.txt

auxiliary_scripts
correlation_analysis
presto_stat
presto_top