Key | Value |
---|---|
FileSize | 2847118 |
MD5 | 5EA15D89AE37925124A9F3179C67BDB8 |
PackageDescription | docs for python-cogent 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 | 1.5.3-10 |
SHA-1 | E8FFFBAB48EB25D9ED1DA3FF7C2E84E80C7EE77D |
SHA-256 | 5B3FB53BB3BB062E4F921E52466CEE01485D3972A0E4EE3EC8E7696F619C5582 |
hashlookup:children-total | 633 |
hashlookup:trust | 50 |
The searched file hash includes 633 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/licenses.html |
FileSize | 5750 |
MD5 | D813764C7478D2BF064A82127325995E |
SHA-1 | 000707D5AD63797EEB7D6DB5704CEBA319BCD82C |
SHA-256 | 9677D181DB85FCE3B458024E118EF8EB087A7E47DAA3AE22181D884070086F9B |
SSDEEP | 96:ATffFCMvMq2D96nwzC6YSpU/RrK+ULS+91T+2DhnGzC64z:a3FFj+6nweb/BKbL71aanGen |
TLSH | T198C1B716ACF0E93780D385D7F9B5D61AB845C51B830EA94CB8EC4AAC2F92F548D1734A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/examples/estimate_startingpoint.html |
FileSize | 11168 |
MD5 | 30BE817F82AAEF6D33A24E5817DDDC94 |
SHA-1 | 0146CD1DEF3DB7FE70875E29AFB2535417B74C27 |
SHA-256 | 774B6288669417BF2B50BAD1DC1A98FAC318E3DE1A26EA7215F35F0492031E5B |
SSDEEP | 192:KFJLZgMnIJX6uZcSx+P8OcwocuYQ64mtHv8lcC4JZpAkJoiKaL0X1aBkn+JO:KF/nIVVFOXxAKATiKma11n+k |
TLSH | T19632CB92DAF391334033C5D3A1BE5725F5E2846AE482184472FD8BAC1BDDE457C0BA9E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/tests/test_app/test_consan.py |
FileSize | 2417 |
MD5 | 8ECF57A9AE3B620D2A1BAF7248B05CC5 |
SHA-1 | 023EE530E87A74AFD044C371A54B44ADC111036C |
SHA-256 | 1D466EA0D0362500636AD95BEF4F28F9342D3758A049A556CCD0AF6E524FDF83 |
SSDEEP | 48:9j5hommFvyri95cqdJ7lHqdjY5Xvdqe6EMl4a1:hGRyrixw0vhul4M |
TLSH | T18A413167D506A9B093A795BB07CB70030E4A3D6344890939B8FD15656FE2071A7F2EFC |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/_static/minus.png |
FileSize | 173 |
MD5 | 0B97FBC310FE94FFD9F8F518077768BE |
SHA-1 | 0253B7C4A9542F4F9D6F71012A6DC115DD565AFE |
SHA-256 | 6BBF785A11D898D224A333B19AEBF50E5C4BCA21C1DD0514F0924D35C12EB840 |
SSDEEP | 3:yionv//thPl6Jxnz2m2/uDlhlbXxOHiY4ep1f5Dv/WkTadG7EV1h3lH1p:6v/lhP8vzs/6TxmbBCk6G7EbVp |
TLSH | T17AC08CEB8B84AD3EC19E1032041B0107D6A31F8E37421A0921DA94AA06A663CEA95331 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/_sources/examples/building_and_using_an_application_controller.txt |
FileSize | 9160 |
MD5 | ACA6AEE102B795D19F36A435050B4672 |
SHA-1 | 02BEB1A656D5AA9BFD97A2EA2D711DB2CFE26889 |
SHA-256 | AFBF7CFEEB67B7DA531F44EED89BB4CB6F17BC5641B6E39DEB15E95FCDF543B7 |
SSDEEP | 192:Ery90vBuK612PPGsM5Vz5nSUEN8KK0NoEDZjgip:ErG0DPPGsk1nSUkTNVjgip |
TLSH | T1C71274476F865FB00382D0B5664ED1E8D726A1BE7118406278ECF948171EF29A3BF7D8 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/doctrees/licenses.doctree.gz |
FileSize | 2468 |
MD5 | 5E5F5577F57B3541F02339BB5EFC3ACE |
SHA-1 | 03355A1E9456659EF9A951FDC14D75EAFE354D59 |
SHA-256 | 5E812239B1C962461C8C2958D8707CBF300B4435875C605D54D82AE687332170 |
SSDEEP | 48:XbxOEp3OXKq5xuZ5SbNoyjkqzFpuWUnesC1WYPq93cO+Q0T/Chioa1UMl:lJeXF5xuaJ1pkFQWYypcB31Uk |
TLSH | T1E251199A0E5C33BFF8823D8760DE27FB9D71A560301531A21AF24C054891CD54B69F17 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/tests/test_core/test_alphabet.py.gz |
FileSize | 2710 |
MD5 | D27BD493F53D4CCB1F81938C4BD1AE50 |
SHA-1 | 033C41A6395701A8FB7DA9D8BE57D816DA3C2B22 |
SHA-256 | FD8D76AAA41A917E8DF5B854E1C681D8F13665C0A59288CBB46F96853DC2B113 |
SSDEEP | 48:XeKmf5OkFmLM34VISgH47d6nWekXv/0KdFLhLqqOByFmrTeWqxel1lJoUnmOl:uKmB7CM34WKzekXv/0KdF9poyFNel1Tl |
TLSH | T119515C463F3285E9844BFFB2E447BBD6345390CA144062557C8841E9B5BD22AB0C37D2 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/html/cookbook/introduction.html |
FileSize | 5754 |
MD5 | 0EC0C7D0C3AD402D3389221FF3876E27 |
SHA-1 | 03BEAB858C797576B382848C4005D1E5B3B0D939 |
SHA-256 | 8284191D566402B0913FE1CC8945BDBFED9C7C4F44DA34C4642C5EE5534A9B02 |
SSDEEP | 96:AXfFKpMhvXqPD9lnyQQC662bni6e5urK+e5L+S1T+PD0nymQC66T4z:kFT0ZlnnJii6fKJLv1aAnDJ8 |
TLSH | T1DEC1B61A5CE4E9238097C2FAF9F4A718BE52C14782097D0CB4EC55AD2F92F444D1B78E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/doctrees/examples/align_codons_to_protein.doctree.gz |
FileSize | 3662 |
MD5 | 71CA3621B6F4A81ECDFE80F186FFD7A7 |
SHA-1 | 04F881FF265F28009D7049E722A0372410D3412E |
SHA-256 | A5BFAEF607A3B15CA9E01F15F860677DBDF56BA261B4B995342AA05859E52F5E |
SSDEEP | 96:SN1JiA9QqYRwGuksQAlxF8yyylR0ZG1qrPnzIl+HY1nC:kbeJruHxtyIiw1knzIM41C |
TLSH | T1DE715D73EC7521EEEAECC775E4ACAE52707A1E99EB25F66D58F716198D030A703C8400 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cogent-doc/doctrees/examples/manipulating_tree_nodes.doctree.gz |
FileSize | 8207 |
MD5 | 6A68EDB4312105A4C23B7DFA4BA3CCBB |
SHA-1 | 05A76E1E4A0FBBE6371A347321452E9AD7F32F4C |
SHA-256 | EAB2FB2FCC5A7E8B8166A0F9A06082CE8A4DA45D2140A1F2E1C097C493F20470 |
SSDEEP | 192:XD3uY1g2Q/383IFKDvV+W2j5UNZuMd5uP5Dysku7Nsar:7uYNvPN7uMf8Dyoear |
TLSH | T12902CF2DD966675CF1963F3CE08B8EC448EA2CF6A80FF600D5AF1B285A5B9184726045 |