Result for 3DAEF56453BAFC2400D381DB804E6324FC7EFA9C

Query result

Key Value
FileName./usr/lib/python3/dist-packages/biom/_subsample.c
FileSize354255
MD5113EE8D6497FA482E244257AE548328D
SHA-13DAEF56453BAFC2400D381DB804E6324FC7EFA9C
SHA-2568A1ABD65C165ABC913ACD63EB33124CA9FCBFD3CE2B5F394223B0DFA4A8EE53E
SSDEEP3072:alcy0+XYKJ1wak62U+OAyCS8FDqVFmN6OwpnHbQDuBoZIqvMpt+paG+MGF1IZkiL:alcy0+XYKJ1wak62U+OAyCS8FDqGuI
TLSHT18074931228A5E45713D2B4F9138BC907A32551170288FACB789CD5E8AF33E6DCDB5E87
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
FileSize179030
MD5CE3EB2C8896FA7FCA8175C38D245890D
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-1AC6A3B2F891510D1125AB536F6E3BB5D060A0311
SHA-25662584E977F6AB00339FF837E05C049BABCEB1EB0910766EE166ABC36651D1CF1
Key Value
FileSize166410
MD5FDCB086A089F1CA15256D5F3BC4DDE51
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-167CD850AEBAE482EAA98B4DB9C6E249E7CC5DAD1
SHA-25615330E9C84A469A2D7BD3BCC4DFDF9876A26769E953D12180532348414B9A3C5