scikit-bio | Python package providing data structures algorithms
kandi X-RAY | scikit-bio Summary
kandi X-RAY | scikit-bio Summary
scikit-bio is a Python library. scikit-bio has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.
scikit-bio is an open-source, BSD-licensed, Python package providing data structures, algorithms, and educational resources for bioinformatics.
scikit-bio is an open-source, BSD-licensed, Python package providing data structures, algorithms, and educational resources for bioinformatics.
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scikit-bio has a medium active ecosystem.
It has 762 star(s) with 246 fork(s). There are 52 watchers for this library.
It had no major release in the last 12 months.
There are 207 open issues and 735 have been closed. On average issues are closed in 463 days. There are 7 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of scikit-bio is 0.5.8
Quality
scikit-bio has 0 bugs and 0 code smells.
Security
scikit-bio has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
scikit-bio code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
scikit-bio is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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scikit-bio releases are available to install and integrate.
Build file is available. You can build the component from source.
scikit-bio saves you 20026 person hours of effort in developing the same functionality from scratch.
It has 39452 lines of code, 3623 functions and 195 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed scikit-bio and discovered the below as its top functions. This is intended to give you an instant insight into scikit-bio implemented functionality, and help decide if they suit your requirements.
- Join two columns together
- Compute the join index for two columns
- Returns True if the table contains positional metadata
- Assert that other is joinable
- Translate a sequence into a sequence
- Translate a sequence into a single amino acid sequence
- Determine if the tree has degenerate
- Validate translation inputs
- Translate a list of 6 frames
- Construct a hierarchy from a taxonomy
- Serialize reference data to JSON format
- Open a file
- Returns a pandas DataFrame containing the positional metadata
- Concatenate intervals
- Translate a string
- Construct a DistanceMatrix from an iterable
- Compute the mean difference between trajectories
- Compute the distance between two nodes
- Estimate the Sty correlation coefficient
- Construct a metric from an iterable
- Construct a Series from a dictionary
- Parse reference lines
- Validate a list of files
- Join two Series
- A |_Shape| object representing the sequence
- Compute the mean and standard deviation between trajectories
- Helper function for serialization
Get all kandi verified functions for this library.
scikit-bio Key Features
No Key Features are available at this moment for scikit-bio.
scikit-bio Examples and Code Snippets
No Code Snippets are available at this moment for scikit-bio.
Community Discussions
Trending Discussions on scikit-bio
QUESTION
Subsampling a 1D array of integer so that the sum hits a target value in python
Asked 2020-Apr-21 at 18:26
I have two 1D arrays of integers whose some differ, for example:
...ANSWER
Answered 2020-Apr-21 at 10:44You could convert the array to indices, sample the indices and convert back to values as follows:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install scikit-bio
You can download it from GitHub.
You can use scikit-bio 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 scikit-bio 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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