| Key | Value |
|---|---|
| FileSize | 822294 |
| MD5 | A7062A86C2D9C386CAAAA192850DF041 |
| 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 (Python 2 or 3). |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python-skbio-doc |
| PackageSection | doc |
| PackageVersion | 0.4.1-1 |
| SHA-1 | 9032C7A0D493CAD752F8CF7C002319AC51B8B94F |
| SHA-256 | 5257404A7ECE8B52C87D9809B098D9F62DF8DCF03E2E478A673C5AC3F5DAB109 |
| hashlookup:children-total | 1338 |
| hashlookup:trust | 50 |
The searched file hash includes 1338 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/share/doc/python-skbio-doc/html/generated/skbio.sequence.RNA.translate.html |
| FileSize | 12471 |
| MD5 | B9464A158BFF6121B19A6B9A46231DDF |
| SHA-1 | 002FDF124025AC6F51C5686427DA7E0CC4F9D508 |
| SHA-256 | 66CE801ECBEC7653E4B0623CD709913727341F489BAA16996285CC4359B9A04B |
| SSDEEP | 192:+V2ynk6fu3UehxzprGaqRdpoPBS9vBmOzNvp:+V2yk6+VhfrGaIohEvp |
| TLSH | T1AA4293679CF295774023C5C5A2D96724F9EAC01FE1854850B2FC83A98FC6E85780FE6E |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-skbio-doc/html/_sources/generated/generated/skbio.stats.gradient.GradientANOVA.txt |
| FileSize | 532 |
| MD5 | D5E1A467DD5C5F72FFCA8A67D61B2B71 |
| SHA-1 | 006D9FAC3BD2DB2F2066DB8BB55B3CAB8734A3B8 |
| SHA-256 | 245B7C301E66CF1E24393FF0EB67D780D369CD732D6DF39511DF7C369DF4D339 |
| SSDEEP | 12:k96aWdjRvI+SK6KCqQqzsUsDECgG3WhJPj1:bvh16LrqzN9CgG2L1 |
| TLSH | T1E5F0D807E1523A32E8719DF4EA5944DDA611A4BB5190CE6A38AC402C9F21B502C7C590 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-skbio-doc/html/generated/skbio.tree.TreeNode.accumulate_to_ancestor.html |
| FileSize | 10644 |
| MD5 | 40E025CC22CA5BC9B4B0A5E7D94F9EC0 |
| SHA-1 | 00A50645208685E78D8835A64D54FEC4D2E617DF |
| SHA-256 | 2F1774B0F9A76E894D079F117B34FABE40B3CBEE6C63C081F040949B2F36C01E |
| SSDEEP | 192:ZN0V2ynk6fu3UIN/hJIxNSIvNOiN1+NzrQQQtHFX+N9z316fQNHvp:ZqV2yk6+FdhJks+dalrQQQtHFWP1vp |
| TLSH | T14522B6266CF29573412389CAD5AA2B24F4D6902FD1425C51B1FCC3AD4FC5F887D07AAE |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-skbio-doc/html/generated/generated/skbio.stats.composition.multiplicative_replacement.html |
| FileSize | 11898 |
| MD5 | 736240DA631C5EF0DA864B3B02F88EF5 |
| SHA-1 | 00EC902831C7D483319447230BBE54A0895AE14C |
| SHA-256 | 2FF680FEC04DF59D012F0DB394BF6939CEE2B2D126774E4CFE862D642EB8790E |
| SSDEEP | 192:q+h2fjkJ273WuLh4Kcj2rhcsQAcF7qYi9evp:qc2fAJQnh5rhcNvp |
| TLSH | T11232A652ACF29973413386C5A6BD2B34B5E2941FE5828C50B1FC83784FD6E483D07A6E |
| 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/generated/generated/skbio.stats.distance.DistanceMatrix.write.html |
| FileSize | 11647 |
| MD5 | 92B72FAD5DF6517A73E0E29EB25E1C9C |
| SHA-1 | 0111C8FF74ED6D8A17771385E7AC84797B432C10 |
| SHA-256 | B774102873D6A610822221DEB5BFAD02976D96751B60390D047A8EA8C2C38FCC |
| SSDEEP | 192:wwJ2flkJ273duLwh1gMJXR+f4UorYZwPGJdaUqIfwRq/r+4fcnvp:wwJ2feJQAwh1gmW4Zraee3rw0z+Ykvp |
| TLSH | T13532A6268CF49E77869747E892952F39B9C7D01FE2018C14B1FC83A89B42EC46D1776E |