Key | Value |
---|---|
FileSize | 705324 |
MD5 | 24E57B551C08D4A0E296D52F2CCB8E92 |
PackageDescription | docs for python3-cogent3 PyCogent is a software library for genomic biology. . It is distinguished by many unique built-in capabilities (such as true codon alignment) and the frequent addition of entirely new methods for the analysis of genomic data. . This package contains documentation and examples. |
PackageMaintainer | Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org> |
PackageName | python-cogent-doc |
PackageSection | doc |
PackageVersion | 2021.5.7a+dfsg-2 |
SHA-1 | 98FA268B8E79A61B23B09C0470454D4E90B1F0B0 |
SHA-256 | 8A66CEC6853C3D23D87C1E3187532DFFE76DD94E0D884141DD29A1F9CC1C315A |
hashlookup:children-total | 322 |
hashlookup:trust | 50 |
The searched file hash includes 322 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/_sources/examples/calculate_neigbourjoining_tree.rst.txt |
FileSize | 1191 |
MD5 | 75C72A152DA1A61C07241B48FF8B0877 |
SHA-1 | 0031DB0DB2E8DC61E2C06EEE1DD02DBFC7C18594 |
SHA-256 | DB553D436A9D07E794B241068264B9DF49D62F8A063B4E3FC23AA73B11DA581C |
SSDEEP | 24:LnHZgnKTMysGB9QIoAJGIHXGudsAwJVlvDipwJPBgvX:LnHCPyFQIoAYI3GudsAw/GwfE |
TLSH | T15321C163EFA7092280A514B8205144E28BD32A575756773479D8C1EA1F033BCCBA5FDD |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/_sources/examples/manipulating_tree_nodes.rst.txt |
FileSize | 6279 |
MD5 | DD40C17630BB03F38E762616AB07BCA0 |
SHA-1 | 007F009F93AD46BB8C55C9B857C14CAC67641225 |
SHA-256 | 4980CF1F75BA03E27A4E5B7B8403B40279277466A566CBE8D64A3F744D74DB49 |
SSDEEP | 96:tvyCWFkCCEcCEoFWU/JrzFqVjfsJmLUvnQz+PjHIWhMyR+nimxda9qE3rnaqLz+A:0COFbrzsVTAmQ2UcUE9unaUSAOfO |
TLSH | T167D15623AF461B6609A54DD4288E40F9EB17022F81BB7760749CC5791743BA886BFBC9 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/_sources/app/align-protein.rst.txt |
FileSize | 1361 |
MD5 | 31A1ECC788391F89011132225FC5B405 |
SHA-1 | 00A9945D89C35B88206FA702044A33210CD6E72A |
SHA-256 | C88005EE2BA9253A62DD8F251D541FB9C7D03FD21CF93871906E7D5AEC74C89B |
SSDEEP | 24:Lbms8G8vsRvrEFcE+FLyzo5oJeQwLMEe8okeQLKsoK:LKs8XIInzo5oFwLMEzoCWsoK |
TLSH | T17A21F181ED1DB7290296E0E845644941E3DB024303A560B476D7C1CE0B525E987FCBCD |
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-cogent-doc/html/api/__init__/cogent3.__init__.load_delimited.html |
FileSize | 8192 |
MD5 | 38FC72B087AE2660596CBCBD43368BC6 |
SHA-1 | 0266A7BA1785262834D7604D5B088DD4C82C3789 |
SHA-256 | 02ED871AE63B5BADBC99C383B528FED69390613E8DCE38F764DF7776E00CFFD8 |
SSDEEP | 192:UESSMzc2qi+bthPN+u5T3u532u5F2u5YTu5Yku5FAC9l+yvObE7:/Mzc2qiOthV+yT3y32yF2yYTyYkyFAvO |
TLSH | T1DEF11E62E9F2E473003385DA96BA5B24B6D6801FF1451829B2FC877D4FCEE857807A19 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/cookbook/alignments.html |
FileSize | 40065 |
MD5 | 8B5CF691A46878FC25E9504FA1555713 |
SHA-1 | 02BDFF93C49AFC38EA6AF2CFC095EBB484850F06 |
SHA-256 | 948790CF54CA90D4A461B264BCAC95C429EF7987C6F60A6D5A051A3BCC0E260B |
SSDEEP | 384:dhU/2Dq2gqQnEpDwQhqALE6xmanBYviQEKEcC3Ibh90XTafVV5KkWw/iMYS37:dhU/Yq2gKh8AXxmaB0qWVEkWwhH7 |
TLSH | T1C103432744E21A3B879312D8D3D11B7AB0EB401AE2D80491F9BD475D5BA3CD2E32792F |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/_sources/examples/period_estimation.rst.txt |
FileSize | 7588 |
MD5 | B9B7AD36BCC06EC8B7735F4E82C76A5B |
SHA-1 | 0303B1E9FBB6477C975A43963B952D200F75A19B |
SHA-256 | B2301D58A3294D789304CD642FE866FDD371F540EA31995D0B2A5833B260256B |
SSDEEP | 96:AgpO0YnIbR8+kwTqIbMIZZSskqSpLWCDcacvqOWTaDnNCNUmS5WhBqxWIoYq:AgpnYnIbbd2gZZSskHXDca4QmjWhC6 |
TLSH | T164F15016AE412F61A452C26A016D80C1FF9B86234223377074DDD2062FCBB29C7BEFD9 |
Key | Value |
---|---|
FileName | snap-hashlookup-import/docs/_static/bootswatch-3.3.7/sandstone/bootstrap.min.css |
FileSize | 124860 |
MD5 | E121C9AA154873346D390D9A6CC92C07 |
SHA-1 | 0363805BA9F01F7C293E95DDB2210270084376E7 |
SHA-256 | C0CEFF79018A5CF778502C776CC0B02DF81E4186460178A2A1E4C4FBAB9ECC7E |
SHA-512 | 5B972112BB5509162055AE31EC091AB32B3AEDE39C3F05531F0712BF23557D629B2C48AB4086DE8ABAE29D2502DCD85BE0B0E90D9ACE67E48A58AF45E592043F |
SSDEEP | 768:fzkGxw/sfHR3o85AFII6sHvaa/zmuwMUoCbZbsOKCLqGIvCmDL6lJAQkQzaE:f5w/CbTI6sHvaa/6MhbOA68L6AQv |
TLSH | T159C3E760F11031EA7333C51A72D0ED863259E152E5674EB7F22F65E88F886CA1673F1A |
insert-timestamp | 1728970043.9026375 |
mimetype | text/plain |
source | snap:CRyc3PMhfCSITBgxznvDPPwK9acscVAh_9 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/_sources/cookbook/what_codes.rst.txt |
FileSize | 997 |
MD5 | 04372BA2182B79228F6C86E1DC4C3A00 |
SHA-1 | 037A18DF8CEB2DDDAC54FE4413A15BD5BD0B3CD8 |
SHA-256 | 15E5DAC7BC736ED9FCFCB34CDA0CD48CE1A7D08C4C2C0EC1E5ABF5A1FE3285B0 |
SSDEEP | 24:LjpEH2zNw35jc6eLuZM36KL5NkSooT8cqGPoi:LNEHWwJjRGNIRaAi |
TLSH | T18B11BDAB9E02CE511062184C017584C052DF23535255A37A7CE9B3984B2FB7ADB7AFCA |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/cookbook/useful_utilities.html |
FileSize | 17416 |
MD5 | 48A4B3322EDE9D5E180E4389A7565F64 |
SHA-1 | 057FDA801D111638D674FDBBE9EB4D6BE7E57F81 |
SHA-256 | 93F693A6C63A04A1B09212362B0914A9ABEDB98FC84A45E692F555B7AC626A30 |
SSDEEP | 384:bKhU/2DqNyffahpBsV6ZJqgaVXeUC3SkEt7:bKhU/YqNy6PBsYZJAVX2rEt7 |
TLSH | T1B272732245E16A37961342ECD3E61B38F5CA801BD2150C61F5FCC39D9792DC6A92F91F |