ugene | free open-source cross | Genomics library

by ugeneunipro C++ Version: 47.0 License: GPL-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | ugene Summary

ugene is a C++ library typically used in Artificial Intelligence, Genomics applications. ugene has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

UGENE is free open-source cross-platform bioinformatics software

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Quality

Security

License

Reuse

Support

ugene has a low active ecosystem.

It has 170 star(s) with 53 fork(s). There are 21 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 49 have been closed. On average issues are closed in 122 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ugene is 47.0

Quality

ugene has no bugs reported.

Security

ugene has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ugene is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

ugene releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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ugene Key Features

No Key Features are available at this moment for ugene.

ugene Examples and Code Snippets

No Code Snippets are available at this moment for ugene.

Community Discussions

Trending Discussions on ugene

Multi-dimensional numpy array into a variable number of several one dimensional arrays for function scipy function argument

QUESTION

Multi-dimensional numpy array into a variable number of several one dimensional arrays for function scipy function argument

Asked 2020-May-28 at 21:20

I am working on a large gene array where a single gene is represented by multiple probes, any where from 2 to 20. I basically want to do a kruskal-wallace test (non-parametric anova) to determine if the probes on a single gene give essentially the same info. SO I have written the following code, let genes be a (1 x m) array where m is the number of probes. Let X be a (n x m) numpy array).

...

ANSWER

Answered 2020-May-28 at 21:20

You can try converting columns to list and passing it to kruskal:

Source https://stackoverflow.com/questions/62073888

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ugene

Download and install required software from http://www.nvidia.com/object/cuda_get.html for your OS.
Download and install required software from http://www.nvidia.com/object/cuda_get.html for your OS
Make sure that some system variable are set: CUDA_LIB_PATH=/path_where_cuda_installed/lib CUDA_INC_PATH=/path_where_cuda_installed/include PATH=$PATH:/path_where_cuda_installed/bin for *nix: LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CUDA_LIB_PATH
cd ./src and open ugene_globals.pri, find and set variable UGENE_CUDA_DETECTED = 1
Download and install video driver with OpenCL support.
Download OpenCL headers from http://www.khronos.org/registry/cl/ or find them in video vendor SDK directory.
Build & run UGENE as usual. During startup UGENE will try to dynamically load 'OpenCL' library (See OpenCLHelper.cpp).

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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