Result for 149A27F8EC15C081B9FB7CBB72E45FA3F04BE615

Query result

Key Value
FileName./usr/share/doc/python-biom-format/examples/wtf2
FileSize2359
MD5882467B543C968166615899190724458
SHA-1149A27F8EC15C081B9FB7CBB72E45FA3F04BE615
SHA-256F941DD36055946D120C074AF402CC617C8962CB35F27685F35B27613B03B165F
SSDEEP48:YquHxHZEFJ0Ju7kv3iMRNO8sDCVHYc3iMeiFNzFSL6FNT9FN+NBIFNqRFhi:mHqWSOYDCV4cS6bm+xskeI
TLSHT1D94181ECDC114A3F995A25CB68E2C313F05461299052487F3D6C992E1F9E8B6F633723
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

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
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
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
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