PyIR: a scalable wrapper for processing billions of immunoglobulin and T cell receptor sequences using IgBLAST

Cinque Soto; Jessica A. Finn; Jordan R. Willis; Samuel B. Day; Robert S. Sinkovits; Taylor Jones; Samuel Schmitz; Jens Meiler; Andre Branchizio; James E. Crowe

PyIR: a scalable wrapper for processing billions of immunoglobulin and T cell receptor sequences using IgBLAST

2020

Abstract Background Recent advances in DNA sequencing technologies have enabled significant leaps in capacity to generate large volumes of DNA sequence data, which has spurred a rapid growth in the use of bioinformatics as a means of interrogating antibody variable gene repertoires. Common tools used for annotation of antibody sequences are often limited in functionality, modularity and usability. Results We have developed PyIR, a Python wrapper and library for IgBLAST, which offers a minimal setup CLI and API, FASTQ support, file chunking for large sequence files, JSON and Python dictionary output, and built-in sequence filtering. Conclusions PyIR offers improved processing speed over multithreaded IgBLAST (version 1.14) when spawning more than 16 processes on a single computer system. Its customizable filtering and data encapsulation allow it to be adapted to a wide range of computing environments. The API allows for IgBLAST to be used in customized bioinformatics workflows.

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