Result for 2B56FCCAF0404A4F71700FD52816C396D7C0897C

Query result

Key Value
FileName./usr/share/doc/python-biom-format-doc/html/_static/copybutton.js
FileSize2655
MD5457354B6EA4ECFCE8303F8ED3E5D589C
SHA-12B56FCCAF0404A4F71700FD52816C396D7C0897C
SHA-256A08CB854DB354EA1FA98A9A54A5A61A034816307175F87C11E56D49F180A8449
SSDEEP48:Q3A7W4QintP779//9cuZwXEFjdvLS9Sh3HGefW8yKOmr7ggraG:rVQOtP77pRwXEFBvW9SUeeNK13ggGG
TLSHT1C45141E8F9EB13751533A16B636FD88433545053E123DA38380D96E40FC6731392A6DA
hashlookup:parent-total11
hashlookup:trust100

Network graph view

Parents (Total: 11)

The searched file hash is included in 11 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize69646
MD54137D7A48E5AE735018A4E8CAAF03ACD
PackageDescriptiondocumentation for BIOM format 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 documentation for the BIOM format Python package.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamepython-biom-format-doc
PackageSectiondoc
PackageVersion2.1.5+dfsg-7
SHA-1E8ACE339FE3F5F38AAC1A0F97470250A2246E4FB
SHA-256F7111AA89DB3FEBDDFFD385CB802DC2C14F939A9E36CE677435046ECC7D7122F
Key Value
FileSize70340
MD5CE368585D9F05904E36008242FB688C2
PackageDescriptiondocumentation for BIOM format 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 documentation for the BIOM format Python package.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamepython-biom-format-doc
PackageSectiondoc
PackageVersion2.1.7+dfsg-2
SHA-1197DBCE83E59585B0B8AADAD76532DCC34EAEADA
SHA-256F41434425711BF677E1B66A93CD33967AE45814D39DDCA525EE86B33BBC34CAF
Key Value
FileSize212704
MD5B953CAE61E84FF4A0AEF655B3F3757F8
PackageDescriptionBiological Observation Matrix (BIOM) format 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.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamepython-biom-format
PackageSectionpython
PackageVersion2.1+dfsg-1
SHA-1DEE0FA8F08F335EA5C6F35490B244C8A23EEA5D1
SHA-2562BD6D05CABD918D85F083BF033F489BF9C7BDBBAB561AEAA0636564D605B4795
Key Value
FileSize214322
MD550B2711EC0B46C570828C2C467D2122A
PackageDescriptionBiological Observation Matrix (BIOM) format 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.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamepython-biom-format
PackageSectionpython
PackageVersion2.1+dfsg-1
SHA-10B29C08C8876105274CD1F040FCE7F537239381C
SHA-2565AE727C320DA2B3FD07BE71E1F99360C9C2A245964F611840C17789D13C4F7CB
Key Value
FileSize56280
MD5AD2B4CEED8C9ADAD193990991C713F90
PackageDescriptiondocumentation for BIOM format 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 documentation for the BIOM format Python package.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-biom-format-doc
PackageSectiondoc
PackageVersion2.1.8+dfsg-1ubuntu2
SHA-188C31FAAFC1786A9B15BF9DE7617E1B04E00AD9C
SHA-256FC0C6D4F4975E8EB04DB72B358050F3457CC8C5C13BE31E82D459370030D0DEE
Key Value
FileSize206226
MD595E720679F40664122FC076B0E7EC861
PackageDescriptionBiological Observation Matrix (BIOM) format 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.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamepython-biom-format
PackageSectionpython
PackageVersion2.1+dfsg-1
SHA-15D756227D044B60FB84CB8DAE66AEA06EB1919C4
SHA-2568233220241C98B5030B3023F7B4D5774AFACCD8753C93AC0D09A148B8D98640D
Key Value
FileSize58916
MD5EFD4498C7FC2DD87D82CAD66A30A6ADF
PackageDescriptiondocumentation for BIOM format 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 documentation for the BIOM format Python package.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-biom-format-doc
PackageSectiondoc
PackageVersion2.1.5+dfsg-1
SHA-1FE1C0546673E500335AA443C967CAA81124FEB8C
SHA-256C3E9A9F0388D45C8AEB40E9D0B48B12B255F74160183A16F1A0905BE646ADFF4
Key Value
FileSize65880
MD52CD32C9947F4C7A36CE9DCF8C161F1E2
PackageDescriptiondocumentation for BIOM format 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 documentation for the BIOM format Python package.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamepython-biom-format-doc
PackageSectiondoc
PackageVersion2.1.10-1
SHA-1D2C712D2E9DD80424FC163CD1B355F312FF0A3C6
SHA-256ADC44B6BA4B6DF5419E2402443DAFFD88B81E6A0404EDB360A68263253CFF92C
Key Value
FileSize54004
MD548BDA24AD01E2D23F4E22A25B6C53771
PackageDescriptiondocumentation for BIOM format 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 documentation for the BIOM format Python package.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-biom-format-doc
PackageSectiondoc
PackageVersion2.1.10-1build1
SHA-1D868E5DBB39EC8E1E34D82550CB0A2F4FECD1C7D
SHA-2569098735F3C7D5A048E820FCE5E84206B3CBEA733687018A139BE7271132036DB
Key Value
FileSize62242
MD52AAE4C0B7ACA6A24570FF455F0A67555
PackageDescriptiondocumentation for BIOM format 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 documentation for the BIOM format Python package.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-biom-format-doc
PackageSectiondoc
PackageVersion2.1.5+dfsg-7build2
SHA-1FEDB5F000D6BFA8305881978D8F75B7E6DDFFC39
SHA-256AADC5C3DE863554F30F25ACA4E324953F9C476D90873A9D3AA3C8B572AA264AB
Key Value
FileSize207584
MD563066C20023F19288F86AA24ADA6B661
PackageDescriptionBiological Observation Matrix (BIOM) format 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.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamepython-biom-format
PackageSectionpython
PackageVersion2.1+dfsg-1
SHA-147EC88EA969C52127D288A8B484EEF999354E31A
SHA-256CEFCC1AE4B89E322EE88E2AABF12974AF70F5AE37475E0494A2A45AFA1645C4B