Result for 3154EDF2E991A1B10DEA8FC4DA62CCC470088370

Query result

Key Value
FileName./usr/lib/python3/dist-packages/biom/cli/table_ids.py
FileSize1166
MD5D0F34FC0DC538FFC280F1FFC3537389D
SHA-13154EDF2E991A1B10DEA8FC4DA62CCC470088370
SHA-256E307F802EBE2F7A803EA28FFE6E6D351763821C406FFE147FD0EBA10705C2317
SSDEEP24:MN3HNSc+xDgi6YPZb+oBrY62kE9D6A4dEyXhrbQgR9MJ:M5tSRDgmhaDBkZdL60Q
TLSHT13821AB01EF046B21C452E42252CE806CFA6F71330E66293638AD926CBF14A38DBFDD54
hashlookup:parent-total26
hashlookup:trust100

Network graph view

Parents (Total: 26)

The searched file hash is included in 26 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
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
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
Key Value
FileSize134572
MD5A665F905ADCA7AE180789E98CBCF9175
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-12278F33D2F56061119882B87BDC80C12380EC74E
SHA-25663576495D4C389F731D5985F006A935102596FA8C00862FA8D93F52E959E69E3
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
FileSize131600
MD58FA108EA000D8618016869B919D8A453
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-130ACE18CABA0D63C5A271DE08DDADB24711E4118
SHA-256CE780DEF191444DF48A89CEAF9C69462B9456D5E2A5861D1C2F5F384C39E69DC