Result for 26CB38A1A50B4D1147C1B90FD4E854D6E15CD5A0

Query result

Key Value
FileName./usr/share/doc/python3-biom-format/changelog.gz
FileSize9335
MD56DA527BC2B4CABB5749531DF13E02055
SHA-126CB38A1A50B4D1147C1B90FD4E854D6E15CD5A0
SHA-2564861420FED368C4DDA4E7FC8181E19811060D7601BF4564527E6FDC20E2DC3A3
SSDEEP192:qe1OzHjJKcDi/vt09eeh/kRV1NA/dcPfAQMH6BiWIr7HYYhlTeYboLC38gy:qeyDJlUt0wi/kROzQuejI7phNeYboLOO
TLSHT19712BF8324C6826042B1B66F5FCC7BAE43A3848BFE5D963840DF6577249C998059B3C1
hashlookup:parent-total9
hashlookup:trust95

Network graph view

Parents (Total: 9)

The searched file hash is included in 9 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize125492
MD51B837CE14375CECFF76D169901A571D1
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
PackageVersion2.1.10-1+b1
SHA-1FE326D334461B5A80762506E7F301932ACA4253A
SHA-25643A300B47E484EFB601500B38984A090946969A81C6BA566D070EDEAFE338E0A
Key Value
FileSize125544
MD5700E29C1EFC038AAB23D53C45E9FFB4F
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
PackageVersion2.1.10-1+b1
SHA-1226E5DD08112E675705BA3B0B887C96C81EFBAA8
SHA-2560E7497E0114365C6982777488107F1F6135123B43C7F3973B1B0431CA80E34BD
Key Value
FileSize124620
MD52273ED022FBB343D249AF756B127311B
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
PackageVersion2.1.10-1+b1
SHA-19BFB797E54CE10B05E42D651885A3925608E50C0
SHA-256F12773D7357E49F3FCBBF2E7B6BBBCE2E5183ECECA33E179CACF47E5E7011D95
Key Value
FileSize131572
MD503CEE6A83FFA0564BD0CB56E1B608638
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
PackageVersion2.1.10-1+b1
SHA-11B95ABA981622783B204004EDCC11E50288389F9
SHA-256FD922D8DD525A5FFD6889C206DA7390AF4ED478EB42DCC74610B4219A2891242
Key Value
FileSize125828
MD5351D61F3F96110190E2E2FE3A85ED796
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
PackageVersion2.1.10-1+b1
SHA-10A7D57F4C9EC240B4E457155425BB31523816314
SHA-256181A8BEAF2436B92B0F12145CACDFDDD750072984E6446318D5ABAA665232304
Key Value
FileSize124868
MD52C318F01403ADEECFA774ECA118A82AD
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
PackageVersion2.1.10-1+b1
SHA-1060540D6720334FDB43D1502E9A50DFE65BC9F6C
SHA-2563F07B69891B84F419391C57F1CC3C84BEEF117186D487DDA13F149153885A7A5
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
FileSize130672
MD5F8D684868F647AD2BDF3553EADDB1A15
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
PackageVersion2.1.10-1+b1
SHA-12831A4A0E9910D842B1D09F21032C4A692AEC8D8
SHA-256E3256A484E25E991A1E538443E418D0A8D2D5E72047C4CA0FDD0076CF0697C19
Key Value
FileSize130672
MD5E3B67514B209B9189E5A506A57EF4707
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
PackageVersion2.1.10-1+b1
SHA-1EA009B21608E03AA207FE29E80F48CB3FA6BAA30
SHA-256AAA8D2869736D5A1C0BBBF6D58D0BAB17DE7753242B4B6EF77557A8CB2A28581