ffq | find sequencing data and metadata from public databases | Genomics library

 by   pachterlab Python Version: 0.3.1 License: MIT

kandi X-RAY | ffq Summary

kandi X-RAY | ffq Summary

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

Fetch run information from the European Nucleotide Archive (ENA).
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            kandi-support Support

              ffq has a low active ecosystem.
              It has 460 star(s) with 35 fork(s). There are 14 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 0 open issues and 38 have been closed. On average issues are closed in 29 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ffq is 0.3.1

            kandi-Quality Quality

              ffq has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              ffq is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              ffq 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.
              Installation instructions are not available. Examples and code snippets are available.
              It has 2366 lines of code, 114 functions and 10 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ffq and discovered the below as its top functions. This is intended to give you an instant insight into ffq implemented functionality, and help decide if they suit your requirements.
            • Return a list of ScienceReference objects for a given DOI
            • Parse a FQQ sample
            • Fetch supplementary supplementary files
            • Fetch supplementary files from GEO
            • Parse ffq
            • Parse encodings
            • Parse encode_biosample data
            • Parse donor donor data
            • Retrieve a bioproject
            • Parse a BioProject
            • Returns a list of run_access_accession_access_accession
            • Fetch a biosample
            • Extract the list of experiments from an SSR file
            • Given a GeoID ID return a list of SRA ids
            • Convert GSM to a targetobject
            • Get the GSE summary for the given accession
            • Extract an SRS ID from an SAX file
            Get all kandi verified functions for this library.

            ffq Key Features

            No Key Features are available at this moment for ffq.

            ffq Examples and Code Snippets

            ffq,Installation
            Pythondot img1Lines of Code : 1dot img1License : Permissive (MIT)
            copy iconCopy
            pip install ffq
              
            ffq,Usage,Fetch information of an SRA run and display it in the terminal
            Pythondot img2Lines of Code : 1dot img2License : Permissive (MIT)
            copy iconCopy
            ffq [SRR]
              
            copy iconCopy
            ffq [SRR1] [SRR2] ...
              

            Community Discussions

            QUESTION

            How to read lines in R starting with certain string
            Asked 2021-Jun-30 at 15:59

            Suppose I have a text file such as below. My question is how to read the lines starting with SN in R. The whole file has over 10k rows but I just wanted the lines starting with SN.

            ...

            ANSWER

            Answered 2021-Jun-30 at 15:38

            Using readLines() and then grep the SN's. Reads in the whole thing first, though.

            Source https://stackoverflow.com/questions/68197596

            QUESTION

            Create a function for tbl_summary in R
            Asked 2020-Nov-03 at 14:36

            I have an example dataset as below and the codes to generate the table I want. However, I have a lot more variables that I want to add to the table. Repeating the same codes for each variable to create the table would make the codes super long. I am trying to write the tbl_summary to a function, but didn't seem to work and I don't know how to fix it.

            ...

            ANSWER

            Answered 2020-Nov-03 at 14:36

            Here's an example of your tables that has been functionalized. Happy Programming!

            Source https://stackoverflow.com/questions/64658354

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

            Vulnerabilities

            No vulnerabilities reported

            Install ffq

            You can install using 'pip install ffq' or download it from GitHub, PyPI.
            You can use ffq 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 .
            Find more information at:

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            Install
          • PyPI

            pip install ffq

          • CLONE
          • HTTPS

            https://github.com/pachterlab/ffq.git

          • CLI

            gh repo clone pachterlab/ffq

          • sshUrl

            git@github.com:pachterlab/ffq.git

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