Result for 00655AD8AA45F851C133CD908F7038C832CE4F93

Query result

Key Value
FileName./usr/lib/python3/dist-packages/biom/_subsample.c
FileSize354255
MD510443D6005CAB37087A0714063FA215B
SHA-100655AD8AA45F851C133CD908F7038C832CE4F93
SHA-256FEBC4BE118D087F7D8480C2AD647D1EF781A77853026660A9D121EF05706FFAD
SSDEEP3072:alcye+XYKJ1wak62U+OAyCS8FDqVFmN6OWnnHbQDuBoZIqvMpt+paG+MGF1IZkiL:alcye+XYKJ1wak62U+OAyCS8FDqKuI
TLSHT1E474931228A5E45713D2B4F9138BC907A32551170288FACB789CD5E8AF33E6DCDB5E87
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
FileSize161548
MD51FD28DF9B67975928BC07444DB1CEDBF
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-13AC55CA74E4EDFEFE013D13B440379A2B096F28A
SHA-2568DE50202B08CAFC20AD90DDFE1108D18CE5F4BAA9C9922FF563F7DDA987E25A5
Key Value
FileSize170474
MD57B9FAA925D4B97694C770EBE6544018A
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-126129021E4C965568BCDBE376D0845AE8B952581
SHA-2565EE3FB40327A5618642F067CEAB02219290FB6255AB287D04B7F21BAE8933076