Result for 410878C3CB66EC2F19A056C0ACEE33CF206A7A37

Query result

Key Value
FileName./usr/lib/python3/dist-packages/biom/table.py
FileSize153493
MD5E628C208CC3DB7AAA74BF32D6B6DA209
SHA-1410878C3CB66EC2F19A056C0ACEE33CF206A7A37
SHA-256C4BF5A10D88BB131977E54AD30AD755D19953F5F87036F68A4B58707937AB92C
SSDEEP3072:8NRmrXNOe64M7Mhjv1nh7hEzgsE1e2+EX6XsHUwe7p+Gq3zTkrqeYAghxw27TF1:8NRmrXNOe64M7Mhjv1nh7hEzgsE1e2vv
TLSHT16CE3B757FF4169624293D0B648CFD812E72DA9571A4824353CAC526C3F01A28F7BEFAD
hashlookup:parent-total24
hashlookup:trust100

Network graph view

Parents (Total: 24)

The searched file hash is included in 24 parent files which include package known and seen by metalookup. A sample is included below:

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
Key Value
FileSize165396
MD5600DDB9E595FCD15C4B9CA431E647F4C
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-1137BF79AAB02D52562A663C1AC044697BDF81A4C
SHA-25666CE67826FC40ADDA3396E4AF527C74958D1ACC8FB4EED4673E03891E83D1EC4
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
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
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
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
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
FileSize169570
MD505BFD16108E743BF3C6EF690F214D414
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-13C37BD1353C2FA4BF28E60B278BCF915BD39804A
SHA-256969A01653123B5D023A117EE935AA1DE3E3623B0BA28461E161D12DD33EC4D80
Key Value
FileSize162486
MD53B3E8DE4ED51E44E3F0A37AAB5BEEEA6
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-biom-format
PackageSectionpython
PackageVersion2.1.5+dfsg-7build2
SHA-15D3901DBB8C00398A4064130F68790919769AFBF
SHA-25648E51CAEDB4B9ABA3E152EFAA63528FF1C4666D012BF02B7597AA27BD8C4D38B
Key Value
FileSize176800
MD5F9C124ABDDFDA82DAB39CD83B866252F
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-1637ADEB9D9AB59CC14D8CF84647A206B73D6D7D0
SHA-256B962C042ADA12E1D8FAC2FF0269236758636894FD2199DAA84B115317AD03531