CAFU | CAFU : A Galaxy framework for exploring unmapped RNA-Seq data | Genomics library

by cma2015 Python Version: Current License: No License

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

kandi X-RAY | CAFU Summary

CAFU is a Python library typically used in Healthcare, Pharma, Life Sciences, Artificial Intelligence, Genomics, Neural Network applications. CAFU has no bugs, it has no vulnerabilities and it has low support. However CAFU build file is not available. You can download it from GitHub.

Extraction of unmapped reads. De novo transcript assembly of unmapped reads. Evidence support of assembled transcripts. Species assignment of assembled transcripts. Sequence characterization of assembled transcripts. Expression profiles of assembled transcripts. Function annotation of assembled transcripts.

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Support

CAFU has a low active ecosystem.

It has 11 star(s) with 4 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 632 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CAFU is current.

Quality

CAFU has no bugs reported.

Security

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

License

CAFU does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

CAFU releases are not available. You will need to build from source code and install.

CAFU has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed CAFU and discovered the below as its top functions. This is intended to give you an instant insight into CAFU implemented functionality, and help decide if they suit your requirements.

Plots the mean squared scores of each fold
Evaluate the model
Cross validation
Get toy configuration
Plot the ROC curve
Plots the score of each fold in the model
Plot precision recall curve
Parse arguments
Generate a forest from traingc forest

Get all kandi verified functions for this library.

CAFU Key Features

No Key Features are available at this moment for CAFU.

CAFU Examples and Code Snippets

No Code Snippets are available at this moment for CAFU.

Community Discussions

Trending Discussions on CAFU

Ansible subelements lookup expects a dictionary

QUESTION

Ansible subelements lookup expects a dictionary

Asked 2018-Aug-24 at 21:05

I have a variable/dictionary file as below:

...

ANSWER

Answered 2018-Aug-24 at 21:05

Two mistakes:

You are passing a string (cafu_analyze_bidprice) instead of a reference to the variable named cafu_analyze_bidprice,
Using subelements lookup does not fit this use case, because you don't have a list of dictionaries.

What you should be doing instead:

use vars lookup to refer to a variable with a name stored in another variable (you use module_name),
iterate over the list defined in the artifacts_name key of the above lookup result.

As you also use group_id key, you can use a helper variable (called my_var in the example below) to avoid calling the lookup twice:

Source https://stackoverflow.com/questions/52006429

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

Vulnerabilities

No vulnerabilities reported

Install CAFU

You can download it from GitHub.
You can use CAFU like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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