Key | Value |
---|---|
FileSize | 884932 |
MD5 | EDD1AC3FCFCDDF014A4A51E805090C72 |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-cogent-doc |
PackageSection | doc |
PackageVersion | 2020.2.7a+dfsg-2 |
SHA-1 | FB65A01F375EABA7DF0252F09D02D894F258B2D1 |
SHA-256 | 87D7B0F997316537053C40E574B5971F5B1B8B9686BA32BB713E2AE798FD2505 |
hashlookup:children-total | 242 |
hashlookup:trust | 50 |
The searched file hash includes 242 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/_sources/examples/period_estimation.rst.txt |
FileSize | 8846 |
MD5 | 1660684BCE84DE07A52D5B01803AC8B1 |
SHA-1 | 017881CC9A55D21E67E58B6FE6E2E7C2AA60B5B4 |
SHA-256 | 1856CFB1072308AD892BD50FA110E2D0C78EB2AAD9DF93CF414503FE9D0C8103 |
SSDEEP | 192:AgpnYnIbbd32v0Fm+XqMqmxXDbdnlWmCUh2:AgBYIbbd328Fm+XqMXxXvdll4 |
TLSH | T1C502532B2EC52F94A613C2F2052F80C1EBD9E613426366BD306F71211FC9B22437D99C |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/_sources/examples/codon_models.rst.txt |
FileSize | 20519 |
MD5 | 12359659150094DF482AC274AC644465 |
SHA-1 | 01C7FFCDEDAD6A1DEAFC0AACA3DE9F1F5F89C2E3 |
SHA-256 | 6F38EAF366EB8130353BAE02C5D35B35F6560760A9739C9BF1FCEC79F0B584F7 |
SSDEEP | 384:gOzxergxogQUG+V9MX6UwnSYOGVPdFIV6Ra7XL9NT4A7S:g5eogfJV9MKU9YOCPTIca7XT4A7S |
TLSH | T11892B54B6EC16771176BD4F2A68F4069C30CA527BD079658349E96F80F21B2143BEECB |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/examples/translate_dna.html |
FileSize | 7323 |
MD5 | 5F930648CF4BFA94C738EB2C77B50AD3 |
SHA-1 | 02EA72E80DDFF25827EB8F3F5449180D2B4064F2 |
SHA-256 | 7B2A6A0A9D0FC68F8A61298BF821F819AAFFA2C2F95CC9A32178D2F8CD47790B |
SSDEEP | 96:oddTMu+ESiDk4DmbpbHA3YwMsYDWfiEL4cn9vJzOGl7ldqKSOHCwQBxOypzzFqI:GHGiDoKY2fB3zlqOHCwQB9zzQI |
TLSH | T151E150619CF6D47340338AD6A2E5772978E7812BD1511C44B2FC43AE4BCAF897E0B61E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/app/evo-extract-model-stats.html |
FileSize | 22450 |
MD5 | B0514C7AA3DA0BC404756201ECF69862 |
SHA-1 | 04C72F68EA3D04AA855329F94E19C59F8E67A9AA |
SHA-256 | 5D1E1005D559EEC841B4A2E67CC185FB85A7949955AAE14233A626002EE73C8C |
SSDEEP | 384:THND9MWXSW6ZNTNQBX4OIc68INtIIFsIK7I/hjDI71IUoGIwPIJF7:THND9XSHxUIchINtIIiIK7I/hjDI71IR |
TLSH | T1C3A2872181F2853A513380D2E6F61F2865EE915EE6470E24F3FC0BB89BC8DD8B61764D |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/search.html |
FileSize | 4544 |
MD5 | 9E191C15487E4A4F71056D02836BA7C6 |
SHA-1 | 05AA0007BA01973A6953757875AB62FCE3F24E9F |
SHA-256 | C93DA49FAF3C2DEDC88463D47944D0AD1E92CAC8DAC52E76504254CE263E4D11 |
SSDEEP | 96:zyTMu+ESiDk5DmskD36HM/A1OaCnW6Za8eb:+HGiDH6T1Qa8eb |
TLSH | T1C69164169CE6D41790518ADAE5F2FA1E6D86E127C3158C44B0EC81BE2FC2FD88E0F65D |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/_downloads/trna_profile.fasta |
FileSize | 2219 |
MD5 | 59C21BE0C49EB2BE0673C1D14C09DF79 |
SHA-1 | 07A32232D3B6BEECBC3D7DF826399BDB8E7BA0F1 |
SHA-256 | E25999B4F42B9868EF95348B4D077043E794B43FA1F90115314364E29C0991EE |
SSDEEP | 12:VPlceMxmuGcZ2wPeYRZbI9MGbpcvLtWsvtLz91weE/ir9Zl83vTeNM2M2GTnVCFj:dljM4b6Pe/pcBDY89vOzhCXtejkX7p |
TLSH | T1F141BDEDAC94F8B7E6C6385B48D8F2C35821B4359D0D7115A77E913F1E20D98B4329A3 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/_sources/examples/relative_rate.rst.txt |
FileSize | 3821 |
MD5 | 02B4F728971A65B52AF04721373D3162 |
SHA-1 | 0808C121FF0369023BFBFE2118D6EA1DF260F67F |
SHA-256 | 4EE717D7291D104FCC486DC4F498FBAE60A68C97C2310B3E3223CA125FAD1110 |
SSDEEP | 96:vqnpAT9sTGh7iyYk0jQDI7inYkUvnDXu1BHi:vqNO7iyYkg7inYkwn/ |
TLSH | T12A71015A1EC68A300662C5F278CF0097D389D9336502E49D345FA6948F65F95436DFCF |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/app/align-codon.html |
FileSize | 14650 |
MD5 | 63C3218644272EFFB938597AB882BE83 |
SHA-1 | 0913DC526E4642AC50BA510B5CE69179DD1D852B |
SHA-256 | 73A1AE257A71D4DF45814DE3267E3D330B9C15F52CA0F58456C5E959EACB2222 |
SSDEEP | 192:KHGiDohYiqV2ivHV8Rb/LYTHTgru5bOL/R8DZULlx8cTLlrk5cvTL90k+PKoA:KHNDcN82JRbjEwu5b2kKIc/Nv/zoA |
TLSH | T1B862CC91D6F79533013389D2A2FE2B75B1E6442AE1920840B2FD83BC47DDE847E0B95E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/_sources/examples/phylo_by_ls.rst.txt |
FileSize | 7056 |
MD5 | 694A9A5ED1C398C4AC7ADB7700CB31FE |
SHA-1 | 0973C1827FDA12E6BBC6FAE85E00E7B9CE8E91A6 |
SHA-256 | CFF8BD607DA83C8659EE84670FA8397ADC2FA3CAAA05AC9018AA3470F5C2F48E |
SSDEEP | 96:rLVrmQAUvmaUhIhWS32asBmG4iq2PGvWW1VB6mXrI2YFy:rRrZu/IYN1oyYV1E2yy |
TLSH | T15CE1B63B3FC913714BA2E0F0110E96E2D70AD76A8336915D786E4175270173695FEAEC |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/cookbook/tables.html |
FileSize | 64487 |
MD5 | B75F7B10A897DC7F94D26B5423131E1D |
SHA-1 | 09CE986C0FD902EEFBCEDBA4707964BE1F1385DC |
SHA-256 | 7C3DA7523B83FB4F0F04C1F1F73AA35F0860EC6A56053C614F224F6D4921CCCC |
SSDEEP | 1536:WDPRBsMglONHlbZa7WL8gu8hhOQUxnqwWvVcofyVvdkGNCN2Gi5nz:WDZS |
TLSH | T1EC5346D1EEFB9133017BC9D352EE1B66F0E1646AE4960440B3FD97A803DCE45790B92A |