Key | Value |
---|---|
FileSize | 1016280 |
MD5 | F4085C1146986FA448925F26A846390A |
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 | 0.5.1-4 |
SHA-1 | FBE3918F9EF3C8150C4ED6177E6C5FB09F9AE92D |
SHA-256 | DA1BC5668C5033DEBEB9C5D927CBBE370564CCC26A8DB2ACCEDCD0CBF5A678B9 |
hashlookup:children-total | 1400 |
hashlookup:trust | 50 |
The searched file hash includes 1400 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/generated/skbio.stats.composition.clr_inv.html |
FileSize | 10631 |
MD5 | 0EF758A4B509D6A2AFDC487F11BE5B05 |
SHA-1 | 003CF48A3E2235EE3A517DBB154847A6A4D883D0 |
SHA-256 | DE0C3BCA8F7E14D0C028B6D7E07645367E03F902B415716241CAEA591A5D9632 |
SSDEEP | 192:o4a22jkJ273u8xhG4krC8vXrUCxKF6vhUDksp:ob22AJQNheBXrUgkksp |
TLSH | T10A2296526CF2E573812386C692EA2B24B5D6D41FE1464C51B2FC837C8FD6E487C07A6E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-skbio-doc/html/_sources/generated/generated/skbio.stats.ordination.OrdinationResults.rst.txt |
FileSize | 777 |
MD5 | 68CD7ED9362FD44D6C37A9D2B1198730 |
SHA-1 | 00BD26F55797868A9DF3C294B8D40C992125762D |
SHA-256 | 851E49B672C9B0CD271AC82A1155EE37E34A3CAD4E774AEFAC9508202415ADD9 |
SSDEEP | 12:RR2YsjWwJ/RvI+SK6KCqQqzsUsDECgG31wT0wW1wEBVwGw1wo:WYpwJJvh16LrqzN9CgG2rWmEBGhmo |
TLSH | T12301BE895457BA329203073FB3B864789CB1B4A774448E1238EC40E44F45B2CAE673A5 |
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.sequence.RNA.__iter__.html |
FileSize | 9233 |
MD5 | 673BBA50815876E69FFFD913D3DBA592 |
SHA-1 | 012EF8306C6E29F951ED3290B9B69B3B55C2C2EF |
SHA-256 | A42425E87A64BCEDB1B2E779031276DB4BD76628BF325AEC0D86487103D7483D |
SSDEEP | 96:nof2DmmydXs5v20OtCsnxkeTLbDb2f3eO54C8LQh1Yqb5B4pf4SfusqLi:CY2rnk6fu3mkh1YqtB45xfusp |
TLSH | T1771286676CF2D9B3802385DA92EA2724B8D6D11FD1458C51B1FC83988FD5F847C07A6E |
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 |