  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 antibody
repertoire and immunoproteogenomics analysis. Unfortunately, proposed algorithm
was very time and memory consuming and could be a bottleneck of processing
large immunosequencing libraries. In this paper we overcome this challenge and
present IgReC, a novel algorithm for adaptive repertoire construction problem.
IgReC reconstructs a repertoire with high precision even if each input read
contains sequencing errors and performs well on contemporary datasets. Results
of computational experiments show that IgReC improves state-of-the-art in the
field. Availability: IgReC is an open source and freely available program
running on Linux platforms. The source code is available at GitHub:
yana-safonova.github.io/ig_repertoire_constructor. Contact:
<EMAIL_ADDRESS>