| Key | Value |
|---|---|
| FileSize | 1037606 |
| MD5 | D6051D7B83BBC2278A0F775A4FEEA90E |
| 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 | Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org> |
| PackageName | python-skbio-doc |
| PackageSection | doc |
| PackageVersion | 0.5.1-2 |
| SHA-1 | 8B357CF7E787502583DC339415C61DA7BD548648 |
| SHA-256 | 2C7D089597A999C9035D2A8D97D8E2AC44A1A9B9EBD4474CF3439D776474AC57 |
| hashlookup:children-total | 1587 |
| hashlookup:trust | 50 |
The searched file hash includes 1587 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-skbio-doc/html/generated/skbio.sequence.DNA.degenerate_map.html |
| FileSize | 8585 |
| MD5 | 09BC33D5860EB80234F7B2762A0887A5 |
| SHA-1 | 0004E7526D3CE2963059E7DC6E916CF6AB7D21E4 |
| SHA-256 | E9AD519A53B414D434FD134C99A000D747BBBCC8C2D90A534B9282D43006AA74 |
| SSDEEP | 96:KYfvDmP1yVgI5v20OtCsnxkeTLbDb2f3eO54C8wQhSv2s8S5fp2qLi:tV2rnk6fu3mNhSvN8mp2p |
| TLSH | T1FC0293271CE0D8B3800386D9E5996B24F9C7D11FD2459C61B1FC83599F91F88690BBAE |
| 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/share/doc/python-skbio-doc/html/generated/skbio.tree.TreeNode.subtree.html |
| FileSize | 8174 |
| MD5 | E6F0AF4414606E05CE511A70192A303A |
| SHA-1 | 006A37EC62C686DFE696F6E0E538E3854E953515 |
| SHA-256 | 8095D28C5AADEB6BFAE7517FB8F9A3048EA3806739EC8FCB049E70B2C24CFEA9 |
| SSDEEP | 96:9YfvDmP1yVgI5v20OtCsnxkeTLbDb2f3eO54C8ZQhWWCB9c2qLi:oV2rnk6fu3muhWWCA2p |
| TLSH | T15CF185265CE1E9B380138AD9D5997728F8C7E11FC2459C61B0FC83598F91F886D0BA9E |
| 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/_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/generated/skbio.stats.power.html |
| FileSize | 23474 |
| MD5 | C0E2876B58C588C59318EFB30C1D1B24 |
| SHA-1 | 014F4D913AC6FBAB81521032FF7EE44178FE1076 |
| SHA-256 | AF70E02189C90F5DA7E41815FA4E607FEE5D4FF92C172927B5D77B61FAD54868 |
| SSDEEP | 384:XG2r26+vhqFqB/sVxkOdK8aj/IY0uIs42CeCqC32p:XGg26+v4AJsfs42CeCqCGp |
| TLSH | T15AB2C7A5E9FB8573413396D752FE1B39B8E1943AE0820851B2FC837C47DCD907817A6A |
| 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 |