Result for 4125FD52A808EB3F2F387CAD5326CE213FC5644E

Query result

Key Value
FileName./usr/lib/R/site-library/biomformat/extdata/rich_sparse_otu_table_hdf5.biom
FileSize46952
MD57880C191CB0805B314A39EA379D56CF3
SHA-14125FD52A808EB3F2F387CAD5326CE213FC5644E
SHA-256557678E984D1F712418D8E91738A5CC260CDE339E6631E60B0430DFEB620A8E0
SSDEEP48:mK4aeLyXZ7gnOuXHmasM4KzVQ2MemZ3lUOLy6uQLyNcNiHxmuut5b5RCjrTvZv28:TV/exAZ3lUOLy6XWNawMU3E+
TLSHT12523D093FF68DE3EC16C653A846A43301326FE096992836725D8B62A2D3B0E51F355C2
hashlookup:parent-total58
hashlookup:trust100

Network graph view

Parents (Total: 58)

The searched file hash is included in 58 parent files which include package known and seen by metalookup. A sample is included below:

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
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
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
FileSize135376
MD55B6421AD4E8B793FA19F045A38A888A4
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
PackageVersion2.1.7+dfsg-2
SHA-10C9E5F94F61BB65B39783747AF26B23A4BD51050
SHA-2562FBE44E36FC8413B6949B291A72DC9B7F77B08FD61E004D53D324DCDCB19F56E
Key Value
FileSize131344
MD521920F1708B1A0867E162A5A8A8E363C
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
PackageVersion2.1.7+dfsg-2
SHA-112066A19F515601E5A0D61F41225E1F441748711
SHA-2561E24DB4BCDB92E649C4B0563FC309617B41BDBDFB0CACAC43AE93320EE7FAB42
Key Value
FileSize122884
MD51B00A70BBA367918FC74DB622E79512D
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
PackageVersion2.1.7+dfsg-2
SHA-1134FBC5AD2581B250724FC33D3FA601480823357
SHA-2568EBAE69FBAA9515E9CDD54DF6A75E207DA6675DCABE0D5BE21A04659BB394236
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
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
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