Result for 163E7BCC3A52FDAA070A643ABF285AD736AA2B4F

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/biom/commands/metadata_adder.py
FileSize7365
MD56ED5D52683CE66558D18621ECFF02105
SHA-1163E7BCC3A52FDAA070A643ABF285AD736AA2B4F
SHA-256CFCF31A5984E5AE3618970E1707AFBA86F5306AC84E0A175A8E6729D320778E8
SSDEEP96:7RyInBW6l8r5Uy7A56Ub5VQr9ZqVbG2uqw8cGpCqGJqn5/tlNVJVRxyOPWASkB6x:7bBXVXw8b4Gy1L
TLSHT137E155246E2932238157D48349DFD942F26D36170B8068277DBCBE1D2F05AE479BEFA4
hashlookup:parent-total4
hashlookup:trust70

Network graph view

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