cfDNA | epigenetic signals captured by fragmentation patterns | Genomics library

by shendurelab Python Version: v1.0 License: MIT

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

kandi X-RAY | cfDNA Summary

cfDNA is a Python library typically used in Telecommunications, Media, Media, Entertainment, Artificial Intelligence, Genomics applications. cfDNA has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However cfDNA build file is not available. You can download it from GitHub.

Analysis of epigenetic signals captured by fragmentation patterns of cell-free DNA

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Quality

Security

License

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Support

cfDNA has a low active ecosystem.

It has 46 star(s) with 25 fork(s). There are 13 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 6 have been closed. On average issues are closed in 16 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cfDNA is v1.0

Quality

cfDNA has 0 bugs and 0 code smells.

Security

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

cfDNA code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cfDNA 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

cfDNA releases are available to install and integrate.

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

Installation instructions are not available. Examples and code snippets are available.

cfDNA saves you 1205 person hours of effort in developing the same functionality from scratch.

It has 2714 lines of code, 28 functions and 27 files.

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

Top functions reviewed by kandi - BETA

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

Calculates consensus consensus .
Write BAM entry .
Calculate the score between two reads .
Calculate the consensus between two reads .
Calculates consensus consensus reads .
returns a list of contiguous windows
Given a list of lines return a list of line buffers
Evaluate values at a given range
Read a genome index from a FASTA file .
Smooths a signal .

Get all kandi verified functions for this library.

cfDNA Key Features

No Key Features are available at this moment for cfDNA.

cfDNA Examples and Code Snippets

No Code Snippets are available at this moment for cfDNA.

Community Discussions

Trending Discussions on cfDNA

curl API calls with array of hashes

QUESTION

curl API calls with array of hashes

Asked 2018-Jun-12 at 12:27

We are using a server software offering called FreezerPro (https://www.freezerpro.com/product-tour) with an API that can be called programmatically. There are simple methods like freezers that work with curl calls like this:

...

ANSWER

Answered 2018-Jun-11 at 16:38

You must URL-encode values of your URL parameters. e.g.

Source https://stackoverflow.com/questions/50801288

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

Vulnerabilities

No vulnerabilities reported

Install cfDNA

You can download it from GitHub.
You can use cfDNA 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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