python-cobra 0.23.0-1 source package in Ubuntu
Changelog
python-cobra (0.23.0-1) unstable; urgency=medium * Team upload. * New upstream version * Standards-Version: 4.6.0 (routine-update) -- Andreas Tille <email address hidden> Sat, 19 Feb 2022 08:53:02 +0100
Upload details
- Uploaded by:
- Debian Med
- Uploaded to:
- Sid
- Original maintainer:
- Debian Med
- Architectures:
- any-amd64 any-i386 arm64 armel armhf mips mips64el mipsel ppc64el alpha hppa m68k powerpc powerpcspe ppc64 sh4 sparc64 all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| python-cobra_0.23.0-1.dsc | 3.0 KiB | 1bfc631d1e9e69b524805e181f71d45136ca04d34e44efe84c6a870bc047ab3a |
| python-cobra_0.23.0.orig.tar.gz | 2.5 MiB | c285b3bdf87dff57c6c7b44284f5eee2b283f5a066bea881a07a1e0961c9d783 |
| python-cobra_0.23.0-1.debian.tar.xz | 8.8 KiB | dff4839e8a49220d5e65452c847a5530770e59f6138a19bf2f90abf98b4e08d5 |
Available diffs
- diff from 0.22.1-1 to 0.23.0-1 (23.2 KiB)
No changes file available.
Binary packages built by this source
- python-cobra-data: constraint-based modeling of biological networks (data)
COnstraint-Based Reconstruction and Analysis (COBRA) methods are widely
used for genome-scale modeling of metabolic networks in both prokaryotes
and eukaryotes. COBRApy is a constraint-based modeling package that is
designed to accommodate the biological complexity of the next generation
of COBRA models and provides access to commonly used COBRA methods, such
as flux balance analysis, flux variability analysis, and gene deletion
analyses.
.
This package provides required and sample data files.
- python3-cobra: constraint-based modeling of biological networks with Python 3
COnstraint-Based Reconstruction and Analysis (COBRA) methods are widely
used for genome-scale modeling of metabolic networks in both prokaryotes
and eukaryotes. COBRApy is a constraint-based modeling package that is
designed to accommodate the biological complexity of the next generation
of COBRA models and provides access to commonly used COBRA methods, such
as flux balance analysis, flux variability analysis, and gene deletion
analyses.
