ecoli_serotyping | In silico prediction of E. coli serotype

 by   phac-nml Python Version: 1.0.0 License: Apache-2.0

kandi X-RAY | ecoli_serotyping Summary

kandi X-RAY | ecoli_serotyping Summary

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

In silico prediction of E. coli serotype
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            kandi-support Support

              ecoli_serotyping has a low active ecosystem.
              It has 29 star(s) with 6 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 7 open issues and 9 have been closed. On average issues are closed in 46 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ecoli_serotyping is 1.0.0

            kandi-Quality Quality

              ecoli_serotyping has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              ecoli_serotyping is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              ecoli_serotyping releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ecoli_serotyping and discovered the below as its top functions. This is intended to give you an instant insight into ecoli_serotyping implemented functionality, and help decide if they suit your requirements.
            • Start the celeryper server
            • Create allele fasta file
            • Check the structure of a database
            • Create the output directory
            • Predict a serotype from a blast output
            • Convert to a dataframe
            • Read blast output into a pandas DataFrame
            • Calculate the prediction for each gene
            • Download MASH and assembly summary
            • Determine if a file is downloaded
            • Set the lock file
            • Download assembly summary files
            • Verify ecoli output
            • Checks if the species name is an escher genus
            • Get sample name
            • Extract species and species from reference sketch
            • Write results to output directory
            • Get the number of alleles
            • Determine file format
            Get all kandi verified functions for this library.

            ecoli_serotyping Key Features

            No Key Features are available at this moment for ecoli_serotyping.

            ecoli_serotyping Examples and Code Snippets

            No Code Snippets are available at this moment for ecoli_serotyping.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install ecoli_serotyping

            You can install using 'pip install ecoli_serotyping' or download it from GitHub, PyPI.
            You can use ecoli_serotyping 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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