MIPGEN | One stop MIP design and analysis | Machine Learning library
kandi X-RAY | MIPGEN Summary
kandi X-RAY | MIPGEN Summary
MIPGEN is a C++ library typically used in Artificial Intelligence, Machine Learning applications. MIPGEN has no bugs, it has no vulnerabilities and it has low support. However MIPGEN has a Non-SPDX License. You can download it from GitHub.
One stop MIP design and analysis. Use MIPgen to design custom mip panels for target enrichment of moderate to high complexity DNA targets ranging from 120 to 250bp in size. To compile MIPgen, you will need a C++ compiler, such as GCC (That’s it! For running design and analysis, see below for dependencies. To build MIPgen from source, simply enter the MIPGEN directory and type make. The mipgen executable can be used to perform designs. MIPgen accepts many options intended to maximize the flexibility of your designs. The only required parameters are the minimum and maximum sizes for the captured sequence, a prefix for output files and a BED file consisting of the coordinates of the desired targets, and the bwa- and samtools-indexed reference genome from which to pull the sequences. Other options provide control over tiling, scoring and oligo design behavior. MIPgen offers three scoring methods based on two methods of scoring: SVR and logistic regression. Both methods offer similar performance, with slight improvements seen with the SVR scoring. The mixed scoring option will perform designs primarily with the faster logistic regression score and finish with the more accurate SVR scoring scheme.
One stop MIP design and analysis. Use MIPgen to design custom mip panels for target enrichment of moderate to high complexity DNA targets ranging from 120 to 250bp in size. To compile MIPgen, you will need a C++ compiler, such as GCC (That’s it! For running design and analysis, see below for dependencies. To build MIPgen from source, simply enter the MIPGEN directory and type make. The mipgen executable can be used to perform designs. MIPgen accepts many options intended to maximize the flexibility of your designs. The only required parameters are the minimum and maximum sizes for the captured sequence, a prefix for output files and a BED file consisting of the coordinates of the desired targets, and the bwa- and samtools-indexed reference genome from which to pull the sequences. Other options provide control over tiling, scoring and oligo design behavior. MIPgen offers three scoring methods based on two methods of scoring: SVR and logistic regression. Both methods offer similar performance, with slight improvements seen with the SVR scoring. The mixed scoring option will perform designs primarily with the faster logistic regression score and finish with the more accurate SVR scoring scheme.
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MIPGEN has a low active ecosystem.
It has 19 star(s) with 18 fork(s). There are 22 watchers for this library.
It had no major release in the last 12 months.
There are 7 open issues and 43 have been closed. On average issues are closed in 2046 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of MIPGEN is v1.1
Quality
MIPGEN has 0 bugs and 0 code smells.
Security
MIPGEN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
MIPGEN code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
MIPGEN has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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MIPGEN releases are available to install and integrate.
Installation instructions are not available. Examples and code snippets are available.
It has 734 lines of code, 1 functions and 8 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of MIPGEN
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of MIPGEN
MIPGEN Key Features
No Key Features are available at this moment for MIPGEN.
MIPGEN Examples and Code Snippets
No Code Snippets are available at this moment for MIPGEN.
Community Discussions
Trending Discussions on MIPGEN
QUESTION
How do you add an attribute to a django app python module?
Asked 2018-Aug-06 at 03:05
Given a django app called mattermost which has a model called Channel we can do something like this.
...ANSWER
Answered 2018-Aug-01 at 05:48Try
from mattermost import channels
print(channels.list())
This resulted in:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install MIPGEN
You can download it from GitHub.
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 .
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