Result for 0F7A4598C21CC553DA950FC58A5C79AD568D03C4

Query result

Key Value
FileName./usr/share/doc/python-biom-format/changelog.Debian.gz
FileSize1200
MD50F6F94CA4CF74E3744C60E28E94FBBB0
SHA-10F7A4598C21CC553DA950FC58A5C79AD568D03C4
SHA-2563A3BDBEA2A1874CA62CEF0D9EA3D209CB8B1BE04FEFC8D1A4B3441876CC1EC88
SSDEEP24:XwZe9+cvCsTFa4sXs6Ig9BN1BC96oA0Xq85iHrVdSc+JR6:XwZHcCSFai6dLxC8oAoqEiLDSc2E
TLSHT13A21BABB30C146E1D8F0581AE136EFA704097656B8D6D47544A0384933AA35ADBD054F
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize167010
MD514A0C703FBE303DE3DCE48051786D70D
PackageDescriptionBiological Observation Matrix (BIOM) format (Python 2) The BIOM file format (canonically pronounced biome) is designed to be a general-use format for representing biological sample by observation contingency tables. BIOM is a recognized standard for the Earth Microbiome Project and is a Genomics Standards Consortium candidate project. . The BIOM format is designed for general use in broad areas of comparative -omics. For example, in marker-gene surveys, the primary use of this format is to represent OTU tables: the observations in this case are OTUs and the matrix contains counts corresponding to the number of times each OTU is observed in each sample. With respect to metagenome data, this format would be used to represent metagenome tables: the observations in this case might correspond to SEED subsystems, and the matrix would contain counts corresponding to the number of times each subsystem is observed in each metagenome. Similarly, with respect to genome data, this format may be used to represent a set of genomes: the observations in this case again might correspond to SEED subsystems, and the counts would correspond to the number of times each subsystem is observed in each genome. . This package provides the BIOM format library for the Python 2 interpreter.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-biom-format
PackageSectionpython
PackageVersion2.1.5+dfsg-7build2
SHA-12531AD0685F08F15FCB7C9BA741C92D42EBDAC10
SHA-2569FD8E50B041868874C30CE6A91173E3C2D6D5529E4C131838B897F490DF5C926
Key Value
FileSize173592
MD54C535E54EE4C61E7F778166FEB6C0DAC
PackageDescriptionBiological Observation Matrix (BIOM) format (Python 2) The BIOM file format (canonically pronounced biome) is designed to be a general-use format for representing biological sample by observation contingency tables. BIOM is a recognized standard for the Earth Microbiome Project and is a Genomics Standards Consortium candidate project. . The BIOM format is designed for general use in broad areas of comparative -omics. For example, in marker-gene surveys, the primary use of this format is to represent OTU tables: the observations in this case are OTUs and the matrix contains counts corresponding to the number of times each OTU is observed in each sample. With respect to metagenome data, this format would be used to represent metagenome tables: the observations in this case might correspond to SEED subsystems, and the matrix would contain counts corresponding to the number of times each subsystem is observed in each metagenome. Similarly, with respect to genome data, this format may be used to represent a set of genomes: the observations in this case again might correspond to SEED subsystems, and the counts would correspond to the number of times each subsystem is observed in each genome. . This package provides the BIOM format library for the Python 2 interpreter.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-biom-format
PackageSectionpython
PackageVersion2.1.5+dfsg-7build2
SHA-12F2EC592FF773BD5CF8A3222B545813D7AB3AACF
SHA-256ECCEEDF302E4A75F3A0990FF06D4BDC41989DF9DE364503BB6C7851A3EC3835B