New algorithmic challenges of adaptive immune repertoire construction
Alexander Shlemov, Sergey Bankevich, Andrey Bzikadze, Yana Safonova

TL;DR
This paper introduces IgReC, a new algorithm for constructing adaptive immune repertoires that is both highly accurate and efficient, capable of handling large, error-prone sequencing datasets for immunological research.
Contribution
IgReC is a novel algorithm that significantly improves the speed and accuracy of immune repertoire construction over previous methods.
Findings
IgReC outperforms existing tools in accuracy and efficiency.
IgReC handles sequencing errors effectively.
The tool is suitable for large-scale immune repertoire analysis.
Abstract
Motivation: The analysis of antibodies and T-cell receptors (TCRs) concentrations in serum is a fundamental problem in immunoinformatics. Repertoire construction is a preliminary step of analysis of clonal lineages, understanding of immune response dynamics, population analysis of immunoglobulin and TCR loci. Emergence of MiSeq Illumina sequencing machine in 2013 opened horizons of investigation of adaptive immune repertoires using highly accurate reads. Reads produced by MiSeq are able to cover repertoires of moderate size. At the same time, throughput of sequencing machines increases from year to year. This will enable ultra deep scanning of adaptive immune repertoires and analysis of their diversity. Such data requires both efficient and highly accurate repertoire construction tools. In 2015 Safonova et al. presented IgRepertoireConstructor, a tool for accurate construction of…
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Taxonomy
TopicsGlycosylation and Glycoproteins Research · Monoclonal and Polyclonal Antibodies Research · T-cell and B-cell Immunology
