Result for 3457D1E086F4EA6AAE2FF35D014C5F8DE32ABD45

Query result

Key Value
FileName./usr/lib/python3/dist-packages/biom/_transform.c
FileSize305587
MD5BC776707F5945115CFC690CA88451F67
SHA-13457D1E086F4EA6AAE2FF35D014C5F8DE32ABD45
SHA-2569C2B26DAC0150461350AECD55DFE5DC31B005D9F4E48085595C4DE636B97CFC5
SSDEEP3072:Wli8j8qW+KyFX7c0ThQG5yCSTxDqVFmN6NAqzHbQDuBov5OMpt+pauvki/ng1Ud:WlJKyFX7c0TmG5yCSTxDqav9o
TLSHT1BB54A41228A5E49713D2B4F9138BC907A32551170248FACB789CD4E8AF33E6D8DB5ED7
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
FileSize168430
MD5A67ED819C07476B36B20A1E4DBB33E9E
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.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamepython-biom-format
PackageSectionpython
PackageVersion2.1.5+dfsg-7
SHA-117140618A17E6C1C285E040EE27FCC95F524A2C9
SHA-256CD2DB68679862059C948AD63E88F35B5CDCD7768405A11DCB484DD617A59078B
Key Value
FileSize160116
MD5E38F605DCAE054A247160B2B08703663
PackageDescriptionBiological Observation Matrix (BIOM) format (Python 3) 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 3 interpreter.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamepython3-biom-format
PackageSectionpython
PackageVersion2.1.5+dfsg-7
SHA-108DB7C59E8DEC9926B1C325D285D6D4ED37F3E72
SHA-256A5C922EC5295F150461B90616D7016C5C2EB779C8E70BFA215E8A32141A04308