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python-biom-format package

python-biom-format 2.1.4+dfsg-1 source package in Ubuntu

Changelog

python-biom-format (2.1.4+dfsg-1) unstable; urgency=medium

  * New upstream version
    Closes: #802867
  * Moved from SVN to Git
  * cme fix dpkg-control
  * Fix watch file

 -- Andreas Tille <email address hidden>  Tue, 27 Oct 2015 18:46:33 +0100

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Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any
Section:
python
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
python-biom-format_2.1.4+dfsg-1.dsc 2.2 KiB e22e0cac4f68bcd271368783d15906e15fff1c517105febc02e843048ed8d4b6
python-biom-format_2.1.4+dfsg.orig.tar.xz 8.1 MiB 866fa7379367624c184a4274c62844bc539075dd86ea987e468d65eb4791fa97
python-biom-format_2.1.4+dfsg-1.debian.tar.xz 7.0 KiB 173470c453af9f0568ff3db4d3f2b75853c9f3625855da23b9f627fb92efea6e

Available diffs

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Binary packages built by this source

python-biom-format: Biological 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.