sadie-antibody 0.4.33

"The Complete Antibody Library"

Sequencing Analysis and Data Library for Immunoinformatics Exploration

About

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Documentation: https://sadie.jordanrwillis.com

Source Code: https://github.com/jwillis0720/sadie

Colab: https://colab.research.google.com/github/jwillis0720/sadie

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SADIE is the Sequencing Analysis and Data library for Immunoinformatics Exploration. The key feautures include:

• Provide pre-built command line apps for popular immunoinformatics applications.

• Provide a low-level API framework for immunoinformatics developers to build higher level tools.

• Provide a testable and reusable library that WORKS!

• Provide a customizable and verified germline reference library.

• Maintain data formats consistent with standards governed by the AIRR community

• Portability ready to use out the box.

SADIE is billed as a "complete antibody library", not because it aims to do everything, but because it aims to meet the needs of all immunoinformatics users. SADIE contains both low, mid and high level functionality for immunoinformatics tools and workflows. You can use SADIE as a framework to develop your own tools, use many of the prebuilt contributed tools, or run it in a notebook to enable data exploration. In addition, SADIE aims to port all code to python because relies heavily on the Pandas library, the workhorse of the data science/machine learning age.

Installation

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Installation is handled using the python package installer pip

$ pip install sadie-antibody

Development installation.

Pull requests are highly encouraged here. The development installation uses pre-commit, flake8 linting and black style formatting to maintain code readability and reausability.

$ git clone [e-mail]/jwillis0720/sadie.git
$ pip install poetry
$ poetry install --with dev

The Littlest Usage

Consult the documentation for complete usage

Command Line Usage

Annotate antibody sequences only from functional human imgt antibodies to a gzip output

$ airr -q my_sequecnes.fasta -s human -d imgt

API

# define a single sequence
pg9_seq = """
    CAGCGATTAGTGGAGTCTGGGGGAGGCGTGGTCCAGCCTGGGTCGTCCCTGAGACTCTCCTGTGCAGCGT
    CCGGATTCGACTTCAGTAGACAAGGCATGCACTGGGTCCGCCAGGCTCCAGGCCAGGGGCTGGAGTGGGT
    GGCATTTATTAAATATGATGGAAGTGAGAAATATCATGCTGACTCCGTATGGGGCCGACTCAGCATCTCC
    AGAGACAATTCCAAGGATACGCTTTATCTCCAAATGAATAGCCTGAGAGTCGAGGACACGGCTACATATT
    TTTGTGTGAGAGAGGCTGGTGGGCCCGACTACCGTAATGGGTACAACTATTACGATTTCTATGATGGTTA
    TTATAACTACCACTATATGGACGTCTGGGGCAAAGGGACCACGGTCACCGTCTCGAGC""".replace(
    "\n", ""
)

# initialize the api
air_api = Airr("human")

# run single sequence
airr_table = air_api.run_single("PG9", pg9_seq)

# or run file
airr_table = air_api.run_file("myfile.fasta")

License

• Copyright © Jordan R. Willis and Troy Sincomb