pygenomics | A library for next generation genomics in Python

 by   tiagoantao Python Version: 0.1.5 License: AGPL-3.0

kandi X-RAY | pygenomics Summary

kandi X-RAY | pygenomics Summary

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

A library for next generation genomics in Python 3
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            kandi-support Support

              pygenomics has a low active ecosystem.
              It has 17 star(s) with 3 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of pygenomics is 0.1.5

            kandi-Quality Quality

              pygenomics has 0 bugs and 0 code smells.

            kandi-Security Security

              pygenomics has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              pygenomics code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              pygenomics is licensed under the AGPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              pygenomics 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.
              It has 1976 lines of code, 127 functions and 31 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pygenomics and discovered the below as its top functions. This is intended to give you an instant insight into pygenomics implemented functionality, and help decide if they suit your requirements.
            • Renders an indented pca plot
            • Get matplotlib figure
            • Render a pca plot
            • An admix plot
            • Convert genotypes to smartpca
            • Read a record from a file
            • Parse indiv name from a marker line
            • Cluster components
            • Get a cluster of components
            • Submit a command
            • Cleans up running jobs
            • Wait for all tasks to complete
            • Plot a stacked plot
            • Commit changes to the database
            • Calculate the bburrows of a list of indices
            • Submit a command to the server
            • Parse the file into a Record object
            • Wait for all tasks to finish
            • Load config file
            • Convert a phylogenetic tree to networkx
            • Parse hwe file
            • Calculate the distance between two sequences
            • Run smartpca
            • Get all the values of the node
            • Remove sex chromosomes from a genome
            • Assign value to given position
            Get all kandi verified functions for this library.

            pygenomics Key Features

            No Key Features are available at this moment for pygenomics.

            pygenomics Examples and Code Snippets

            No Code Snippets are available at this moment for pygenomics.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install pygenomics

            You can install using 'pip install pygenomics' or download it from GitLab, GitHub, PyPI.
            You can use pygenomics 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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            Install
          • PyPI

            pip install pygenomics

          • CLONE
          • HTTPS

            https://github.com/tiagoantao/pygenomics.git

          • CLI

            gh repo clone tiagoantao/pygenomics

          • sshUrl

            git@github.com:tiagoantao/pygenomics.git

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