Pyteomics is a collection of lightweight and handy tools for Python
that help to handle various sorts of proteomics data. Pyteomics
provides a growing set of modules to facilitate the most common
tasks in proteomics data analysis, such as:
* calculation of basic physico-chemical properties of polypeptides:
. mass and isotopic distribution
. charge and pI
. chromatographic retention time
* access to common proteomics data:
. MS or LC-MS data
. FASTA databases
. search engines output
* easy manipulation of sequences of modified peptides and proteins
WWW: https://pypi.python.org/pypi/pyteomics
Update the default version of GCC in the Ports Collection from GCC 4.7.4
to GCC 4.8.3.
Part II, Bump PORTREVISIONs.
PR: 192025
Tested by: antoine (-exp runs)
Approved by: portmgr (implicit)
Update the default version of GCC used in the Ports Collection from
GCC 4.6.4 to GCC 4.7.3. This entails updating the lang/gcc port as
well as changing the default in Mk/bsd.default-versions.mk.
Part II, Bump PORTREVISIONs.
PR: 182136
Supported by: Christoph Moench-Tegeder <cmt@burggraben.net> (fixing many ports)
Tested by: bdrewery (two -exp runs)
Update to libmpc version 1.0.1 which brings the following fixes:
- Switched to automake 1.11.6, see CVE-2012-3386.
- #14669: Fixed extraction of CC from gmp.h.
- Fixed case of intermediate zero real or imaginary part in mpc_fma,
found by hydra with GMP_CHECK_RANDOMIZE=1346362345.
This is on top of the following changes from version 1.0
- Licence change towards LGPLv3+ for the code and GFDLv1.3+ (with no
invariant sections) for the documentation.
- 100% of all lines are covered by tests
- Renamed functions
. mpc_mul_2exp to mpc_mul_2ui
. mpc_div_2exp to mpc_div_2ui
(Only the first 15 lines of the commit message are shown above )
Add new port science/pyteomics:
Pyteomics is a collection of lightweight and handy tools for Python
that help to handle various sorts of proteomics data. Pyteomics
provides a growing set of modules to facilitate the most common
tasks in proteomics data analysis, such as:
* calculation of basic physico-chemical properties of polypeptides:
. mass and isotopic distribution
. charge and pI
. chromatographic retention time
* access to common proteomics data:
. MS or LC-MS data
. FASTA databases
. search engines output
* easy manipulation of sequences of modified peptides and proteins
WWW: https://pypi.python.org/pypi/pyteomics
