fastqe | FASTQ sequence quality visualisation with Emoji | Genomics library

 by   fastqe Python Version: 0.3.1 License: BSD-3-Clause

kandi X-RAY | fastqe Summary

kandi X-RAY | fastqe Summary

fastqe is a Python library typically used in Artificial Intelligence, Genomics applications. fastqe 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 fastqe' or download it from GitHub, PyPI.

Read one or more FASTQ files, fastqe will compute quality stats for each file and print those stats as emoji... for some reason.
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            kandi-support Support

              fastqe has a low active ecosystem.
              It has 143 star(s) with 14 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 15 open issues and 7 have been closed. On average issues are closed in 136 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of fastqe is 0.3.1

            kandi-Quality Quality

              fastqe has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              fastqe 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.

            kandi-Reuse Reuse

              fastqe 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, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed fastqe and discovered the below as its top functions. This is intended to give you an instant insight into fastqe implemented functionality, and help decide if they suit your requirements.
            • Process command line options
            • Extract the counts from a FASTQ file
            • Return a string representation of the stats
            • Print the output of a fastq file
            • Map sequences from a sequence of sequences
            • Logs an error message
            • Print the scale
            • Parse command line arguments
            Get all kandi verified functions for this library.

            fastqe Key Features

            No Key Features are available at this moment for fastqe.

            fastqe Examples and Code Snippets

            No Code Snippets are available at this moment for fastqe.

            Community Discussions

            QUESTION

            Snakemake: MissingInputException in snakemake pipeline
            Asked 2017-Mar-07 at 08:43

            I'm trying a SnakeMake pipeline and I'm stucked on an error I really don't understand.

            I've got a directory (raw_data) in which I have the input files :

            ...

            ANSWER

            Answered 2017-Mar-06 at 17:51

            Finally, I succed with the pipeline removing the fq1_ID and fq2_ID variables in the rule bwa_mem_to_bam and replacing in the message of the rule input.fq1_ID and input.fq2_ID by input.fq1 and input.fq2.

            The message is less elegant, but the pipeline is running correctly. Still doesn't understand exactly where was the mistake, if someone can explain, I'm still listening!

            The correct code for rule bwa_mem_to_bam:

            Source https://stackoverflow.com/questions/42629737

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

            Vulnerabilities

            No vulnerabilities reported

            Install fastqe

            Latest release versions of fastqe are available via pip or BioConda:.

            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 fastqe

          • CLONE
          • HTTPS

            https://github.com/fastqe/fastqe.git

          • CLI

            gh repo clone fastqe/fastqe

          • sshUrl

            git@github.com:fastqe/fastqe.git

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