套件： python-biom-format (2.1.5+dfsg-7build2)
python-biom-format 的相關超連結
Trisquel 的資源：
下載原始碼套件 python-biom-format：
- [python-biom-format_2.1.5+dfsg-7build2.dsc]
- [python-biom-format_2.1.5+dfsg.orig.tar.gz]
- [python-biom-format_2.1.5+dfsg-7build2.debian.tar.xz]
維護者：
Original Maintainers:
- Debian Med Packaging Team (郵件存檔)
- Andreas Tille
外部的資源：
- 主頁 [biom-format.org]
相似套件：
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.
其他與 python-biom-format 有關的套件
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- dep: libc6 (>= 2.4)
- GNU C Library: Shared libraries
同時作為一個虛擬套件由這些套件提供： libc6-udeb
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- dep: pyqi
- Python framework for wrapping general commands in multiple interfaces
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- dep: python
- interactive high-level object-oriented language (default version)
- dep: python (<< 2.8)
- dep: python (>= 2.7~)
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- dep: python-click
- Simple wrapper around optparse for powerful command line utilities - Python 2.7
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- dep: python-future
- single-source support for Python 3 and 2 - Python 2.x
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- dep: python-numpy (>= 1:1.10.0~b1)
- Numerical Python adds a fast array facility to the Python language
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- dep: python-numpy-abi9
- 本虛擬套件由這些套件提供： python-numpy
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- dep: python-scipy
- scientific tools for Python
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- sug: python-biom-format-doc
- documentation for BIOM format