smcsmc | Demographic inference from whole genomes
kandi X-RAY | smcsmc Summary
kandi X-RAY | smcsmc Summary
smcsmc is a C++ library. smcsmc has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.
Demographic inference from whole genomes
Demographic inference from whole genomes
Support
Quality
Security
License
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Support
smcsmc has a low active ecosystem.
It has 8 star(s) with 2 fork(s). There are 5 watchers for this library.
It had no major release in the last 12 months.
There are 2 open issues and 24 have been closed. On average issues are closed in 232 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of smcsmc is 1.0.2
Quality
smcsmc has no bugs reported.
Security
smcsmc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
smcsmc is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
smcsmc releases are available to install and integrate.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of smcsmc
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of smcsmc
smcsmc Key Features
No Key Features are available at this moment for smcsmc.
smcsmc Examples and Code Snippets
Copy
git clone git@github.com:luntergroup/smcsmc.git git-smcsmc
cd git-smcsmc
git submodule init
git submodule update
mkdir build; cd build
cmake ..
make
cd ..
pip install -r requirements.txt
pip install .
Copy
conda install -c conda-forge -c luntergroup smcsmc
Community Discussions
No Community Discussions are available at this moment for smcsmc.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install smcsmc
This repository contains two components, and both must be installed to properly use smcsmc.
NOTE: We currently only support conda installation on 64 bit Linux. If you are using a different operating system you must install manually -- see below. We have automated this process in a conda package, and we highly recommend installing it this way. We must add conda-forge as a channel (with the -c flag) because the Boost version there is more current than default channels.
Alternatively, a combination of cmake and pip can be used to install the python and core components:.
boost
cmake
tcmalloc
NOTE: We currently only support conda installation on 64 bit Linux. If you are using a different operating system you must install manually -- see below. We have automated this process in a conda package, and we highly recommend installing it this way. We must add conda-forge as a channel (with the -c flag) because the Boost version there is more current than default channels.
Alternatively, a combination of cmake and pip can be used to install the python and core components:.
boost
cmake
tcmalloc
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
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