Key | Value |
---|---|
FileSize | 1031620 |
MD5 | 1F1B557B5F6DC165F20DE258A6AEF151 |
PackageDescription | Data structures, algorithms, educational resources for bioinformatics (docs) Scikit-bio is a Python package providing data structures, algorithms, and educational resources for bioinformatics. . This is the HTML documentation for skbio. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-skbio-doc |
PackageSection | doc |
PackageVersion | 0.5.6-1 |
SHA-1 | 2474451CCA624A392FD970B7E0529999420CF44C |
SHA-256 | 2575FA20C39BE5FC5C7B7227DF0D7C92618C6ABD9DB66F85AC4316A719528D30 |
hashlookup:children-total | 1374 |
hashlookup:trust | 50 |
The searched file hash includes 1374 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skbio-doc/html/_sources/generated/skbio.sequence.Sequence.read.rst.txt |
FileSize | 134 |
MD5 | 5A12EC0FAFDC3475D3C2B31D0BEA97DA |
SHA-1 | 0005D949A433B83B625DFA09FF5299CAE7D990FB |
SHA-256 | 7F3C746334CEF53476112AFC2CBC128433EDAB8B69AAFD62C021068E1861A31F |
SSDEEP | 3:lNsKNudq1Y1a6BFsKuLLFEEKzTWuLn:l9401Y1NMLLFEEQ6uLn |
TLSH | T1EDC0928F103E1B5AC02C9704778426F6B83A708077EF83102D3457428848BA09872960 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skbio-doc/html/_sources/generated/skbio.alignment.TabularMSA.read.rst.txt |
FileSize | 143 |
MD5 | 79598B7D72F0FA46D12D8D3719378E46 |
SHA-1 | 001738F762E5DDA8C38E5C0BFD407DDE398F92F8 |
SHA-256 | 70CB43330BBD6A894904212878EA8964047B3E37697071F0A2540EEFCB871618 |
SSDEEP | 3:lNsK8XIuRFk+v1Y1v6BFsvXIuRPJKzUhEX+vn:l9uIok+v1Y10CIcQUSX+vn |
TLSH | T18BC09202123D167D8568AA0447050FF8E8FA70C06FE1C11A3BA56B81815CBE66B92A40 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/horizon/xstatic/pkg/bootswatch/data/cerulean/bootstrap.min.css |
FileSize | 128257 |
MD5 | 4ABC771EC996323E38DD127400A9361A |
SHA-1 | 00D69D1B94DF6FB7248CC7E77A1B18F71D799CE9 |
SHA-256 | CA9B316A4AA635F54F257C0B25D5841CB12F0FC01F1498DB99B9B42FBAFE34A9 |
SHA-512 | DCD12C328A41CBC1370186587D61030FE9D1194A091DB09B74DA326F8B40DF1F47AEC8B1097FD3A3786F6E7D40275239001BBF2F4AB82AC54AC1B5F8BCFC2F75 |
SSDEEP | 768:pzkGxw/f/Hm3o8DnJgI6GHNSLLMl/GGlXMbZbVdGvP9P08Ef/VZAqQkQzaxv:p5w/nKSI6GHNSLLZG1AdjBf/V3Q4v |
TLSH | T168C3C660F11031EA7323C55A71D0FE8A3259E193E5664EB7F22F65E88F855CA0273F1A |
insert-timestamp | 1728970043.6881106 |
mimetype | text/plain |
source | snap:CRyc3PMhfCSITBgxznvDPPwK9acscVAh_9 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skbio-doc/html/_sources/generated/skbio.tree.TreeNode.unrooted_copy.rst.txt |
FileSize | 149 |
MD5 | 234B925A23EA87C6C4EAB23748EDE99C |
SHA-1 | 00EEEFD3C0DF234438593F9BE0DB61E7BFE7C953 |
SHA-256 | 74A8B6B5B5E5D5256E4E2173F765FB7911399B689093731AC3252CB5F70552C5 |
SSDEEP | 3:lNsKzLxXlsjjZ6BFsI9EEKzUVsjje:l9zLxXls/ev9EEQUG/e |
TLSH | T1DBC09B5450350A5F917D5ECB590E57D45D5D7835F3535F2114185D8051543746CDE680 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skbio-doc/html/_sources/generated/skbio.sequence.Protein.__deepcopy__.rst.txt |
FileSize | 155 |
MD5 | 7E4D01A2C716263AE5AEC7A8374D2D00 |
SHA-1 | 00F2F22F95E038F8C07D31594FE618C02CE0111E |
SHA-256 | B487954D47DFB4A0A2AD8871FB5EB939178FCF09A181A7F643CE53C06C4527EB |
SSDEEP | 3:lNsKNuQAv6nBcR656BFsKuLLFEEKzQaRpy6nBcRv:l94VinqR6+MLLFEEQQaRppnqRv |
TLSH | T18DC09B4D201D465E905E56E5675C49F9B475615573F743111CB442864988770BC74E50 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skbio-doc/html/generated/skbio.stats.gradient.CategoryResults.html |
FileSize | 11380 |
MD5 | 4273918F7025BF41906502F75A12E8FC |
SHA-1 | 00FE9C8CD78181086A347C0CE3E68978AEDF1003 |
SHA-256 | B175703E0124BA0EDBAFC10865EA35C391A37433AF986EFBD0F9889492F02957 |
SSDEEP | 192:vrk2wZkhep3NAhFPQl+KRRKwLK5+QmgFp+p:vo2wihgehGlFRgwm5QG+p |
TLSH | T18D32981E5CE469779403C2C8D2D02B2DB9C6E11FC1598CA1B5FCCB898B92D98750FA7D |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skbio-doc/html/_sources/generated/skbio.alignment.TabularMSA.append.rst.txt |
FileSize | 149 |
MD5 | 79E77A74A491039F6EFAEB81592502CD |
SHA-1 | 0109C921374E593F7E68696D3C6FA6F70F43AD06 |
SHA-256 | 3D08DAD6CB56C0AB9811160260E57B41BDAE7F99D01EDD1A934574C27D130EFF |
SSDEEP | 3:lNsK8XIuRFk+8q10F6BFsvXIuRPJKzUhEX+8q1v:l9uIok+8q10SCIcQUSX+8q1v |
TLSH | T1B7C09202227A157DD5686E08C7051EF898FA60E063E1D12C3AA61F888158FE66B90A40 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skbio-doc/html/_sources/generated/skbio.stats.gradient.FirstDifferenceGradientANOVA.get_trajectories.rst.txt |
FileSize | 248 |
MD5 | 0EDCB4641A9E3D6D1A64B44D8A38A87F |
SHA-1 | 0127CB9C74A779C6293332FFBB3623F13CF65C81 |
SHA-256 | F83241A1460B4067C42063F116A21DBE123748B6EAE47061B3F3297DBD3AB45A |
SSDEEP | 6:l9tYMGiDysFEPjMrZYMaLdQGMGiDysFEPjn:XeKy1PjM2dEGgy1Pjn |
TLSH | T102D0120580246287F93ADFC0DB0914AEB65761EB638D85581D5C810C806AFBA25AD923 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skbio-doc/html/_sources/generated/skbio.sequence.RNA.gc_content.rst.txt |
FileSize | 137 |
MD5 | C578A27BF5A5EB107A32EDE781B5A1CA |
SHA-1 | 01570F743967231C446918A588065566DA8354BF |
SHA-256 | DC5E7534139F553C7A3D74D4ECD914E4E807F58A5130C0D2A98AD7ECFAE2E6C5 |
SSDEEP | 3:lNsKNu+KluJSv6BFsKuLLFEEKzSrB0KluJn:l941WLMLLFEEQS9zWn |
TLSH | T1ABC09B5D10351656911CA2145B4454E5E469A041B396A5204C34618444D4B705890656 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skbio-doc/html/_sources/generated/skbio.stats.ordination.pcoa_biplot.rst.txt |
FileSize | 145 |
MD5 | 8FCF8B57F6F8FCA943A258871500479D |
SHA-1 | 0168E9477647DA82E7030D0838B27D8864A10392 |
SHA-256 | 057BB93706A6BB89EE413DE47B2131C51DED1602732EEB5895C003020136832B |
SSDEEP | 3:x1RMwRLERsUER+6BFsW1RMwRLL/FPKKbKnG4n:7q2UERJRq6/Jpb03n |
TLSH | T141C09288206C2A4789661636A32D15A648B279C632838B201CF84BC585AC31D9E6AE56 |