megalodon | research command line tool to extract high accuracy | Genomics library
kandi X-RAY | megalodon Summary
kandi X-RAY | megalodon Summary
megalodon is a Python library typically used in Artificial Intelligence, Genomics, Tensorflow applications. megalodon has no bugs, it has no vulnerabilities, it has build file available and it has low support. However megalodon has a Non-SPDX License. You can install using 'pip install megalodon' or download it from GitHub, PyPI.
Megalodon is a research command line tool to extract high accuracy modified base and sequence variant calls from raw nanopore reads by anchoring the information rich basecalling neural network output to a reference genome/transriptome.
Megalodon is a research command line tool to extract high accuracy modified base and sequence variant calls from raw nanopore reads by anchoring the information rich basecalling neural network output to a reference genome/transriptome.
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megalodon has a low active ecosystem.
It has 168 star(s) with 29 fork(s). There are 23 watchers for this library.
It had no major release in the last 12 months.
There are 30 open issues and 297 have been closed. On average issues are closed in 8 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of megalodon is 2.5.0
Quality
megalodon has 0 bugs and 0 code smells.
Security
megalodon has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
megalodon code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
megalodon 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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megalodon releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
megalodon saves you 6123 person hours of effort in developing the same functionality from scratch.
It has 18741 lines of code, 615 functions and 55 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed megalodon and discovered the below as its top functions. This is intended to give you an instant insight into megalodon implemented functionality, and help decide if they suit your requirements.
- Creates a queue for the Modification queue
- Establish connection to db
- Create the indexing index for data coverage
- Gets the value of the queue
- Creates a queue for the variant calling
- Create a unique index for loci
- Create data covering indexing
- Aggregate stats
- Get the read db id from the database
- Return an argument parser
- Get failed reads from failed reads queue
- Processes a read queue
- Create a unique index in the database
- Parse argument parser
- Iterate through the BED methyl chromosomes
- Iterate through all variants in the variant_iter
- Calls read mod_mods
- Process all reads
- Parse ref output
- Compute validation metrics
- Create an argument parser
- Plot mapping
- Creates a worker function to extract the thresholding results
- Parse variant arguments
- Create a parser for calibrate_stats
- Parse mod args
- Prepare queue for reading
Get all kandi verified functions for this library.
megalodon Key Features
No Key Features are available at this moment for megalodon.
megalodon Examples and Code Snippets
No Code Snippets are available at this moment for megalodon.
Community Discussions
Trending Discussions on megalodon
QUESTION
How to make a simple list of primitive fields of object with Serializer
Asked 2020-Jan-28 at 08:22
I'm creating Rest API with Django Rest Framework for my clients and I'm confused while creating a structure of it. I want a structure like this with DRF Serializers:
ANSWER
Answered 2020-Jan-28 at 05:29Try returning a list in your serializer:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install megalodon
You can install using 'pip install megalodon' or download it from GitHub, PyPI.
You can use megalodon 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.
You can use megalodon 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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