m6anet | Detection of m6A from direct RNA-Seq data

by GoekeLab Python Version: 2.1.0 License: MIT

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

kandi X-RAY | m6anet Summary

m6anet is a Python library. m6anet has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install m6anet' or download it from GitHub, PyPI.

m6anet is a python tool to detect m6a modifications from Nanopore Direct RNA Sequencing data.

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Quality

Security

License

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Support

m6anet has a low active ecosystem.

It has 57 star(s) with 11 fork(s). There are 4 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 7 open issues and 56 have been closed. On average issues are closed in 39 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of m6anet is 2.1.0

Quality

m6anet has 0 bugs and 0 code smells.

Security

m6anet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

m6anet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

m6anet is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

m6anet releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

It has 1630 lines of code, 151 functions and 23 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed m6anet and discovered the below as its top functions. This is intended to give you an instant insight into m6anet implemented functionality, and help decide if they suit your requirements.

Cross validation
Build a data loader
Build a Dataset object
Build the loss function
Preprocess a single transcript
Combine multiple sequences
Filter partitions by kers
Split events into continuous positions
Train and save the model
Performs the parallel preprocessing of the event alignment
Create an index for an event alignment
Run inference
Build the model
Calculate mean standard deviation
Argument parser
Get command line arguments
Create attention layer
Perform the forward computation
Creates a pandas dataframe from merged reads
Compute the kmer for each group
Create the nn layer
Annotate kmer information
Compute norm factors for k - merges
Create a dictionary of normalized norm values
Forward attention weights
Compute norm factors from kmer information
Create a dictionary mapping kmer to kmer

Get all kandi verified functions for this library.

m6anet Key Features

No Key Features are available at this moment for m6anet.

m6anet Examples and Code Snippets

No Code Snippets are available at this moment for m6anet.

Community Discussions

No Community Discussions are available at this moment for m6anet.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install m6anet

m6anet requires Python3 to run. To install our m6anet package and its dependencies, run.

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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