gffutils | GFF and GTF file manipulation and interconversion
kandi X-RAY | gffutils Summary
kandi X-RAY | gffutils Summary
gffutils is a Python library. gffutils has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However gffutils has 2 bugs. You can install using 'pip install gffutils' or download it from GitHub, PyPI.
GFF and GTF file manipulation and interconversion
GFF and GTF file manipulation and interconversion
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gffutils has a low active ecosystem.
It has 214 star(s) with 66 fork(s). There are 15 watchers for this library.
There were 1 major release(s) in the last 12 months.
There are 14 open issues and 118 have been closed. On average issues are closed in 906 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of gffutils is 0.13
Quality
gffutils has 2 bugs (1 blocker, 0 critical, 1 major, 0 minor) and 129 code smells.
Security
gffutils has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
gffutils code analysis shows 0 unresolved vulnerabilities.
There are 5 security hotspots that need review.
License
gffutils is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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gffutils releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
gffutils saves you 2093 person hours of effort in developing the same functionality from scratch.
It has 4592 lines of code, 288 functions and 35 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed gffutils and discovered the below as its top functions. This is intended to give you an instant insight into gffutils implemented functionality, and help decide if they suit your requirements.
- Update relations
- Merges a file with the same ID
- Return a list of keys and values
- Return the value of a key
- Create a BedTool object for each transcript
- Create a cursor
- Return a list of children
- Construct a relationship query
- Convert a GFFFeature object to a SeqFeature object
- Print the bin sizes
- Clean a GFF file
- Sanitize a GFF file
- Set pragmas
- Open a URL and return a stream
- Convert a GT12 file into a BED12 format
- Split a key - value pair
- Populate the features table
- Generate the canonical transcript sequence
- Inspect all features
- Merge two features
- Recursively reconstruct the attributes
- Populates the features table
- Determine dialect from features
- Test if two regions have the same features
- Merge two attributes
- Create a data iterator
Get all kandi verified functions for this library.
gffutils Key Features
No Key Features are available at this moment for gffutils.
gffutils Examples and Code Snippets
No Code Snippets are available at this moment for gffutils.
Community Discussions
No Community Discussions are available at this moment for gffutils.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install gffutils
You can install using 'pip install gffutils' or download it from GitHub, PyPI.
You can use gffutils 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 gffutils 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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