Dmitriy A. Shagin

TL;DR: MIGEC (molecular identifier groups–based error correction), a strategy for high-throughput sequencing data analysis, allows for nearly absolute error correction while fully preserving the natural diversity of complex immune repertoires.

TL;DR: It is demonstrated that advanced correction allows the removal of the majority of artificial TCR diversity with concomitant rescue of most of the sequencing information, and this correction enhances the accuracy of clonotype identification and quantification as well as overall TCR Diversity measurements.

TL;DR: MAGERI is introduced, a computational pipeline that efficiently handles all caveats of UMI-based analysis to obtain high-fidelity mutation profiles and call ultra-rare variants in complex DNA samples.

TL;DR: The first detailed molecular epidemiology report based on second and third generation (long-read) sequencing for the clinical isolates of K. pneumoniae in the Russian Federation is presented, revealing 2 new multilocus sequence typing (MLST)-based sequence types, 32 multidrug-resistant (MDR) isolates and 5 colistin-resistant isolates in samples.

TL;DR: A method for studying polymerase errors with exceptional resolution is described, which combines unique molecular identifier tagging and high-throughput sequencing and demonstrates that the detected high-frequency PCR errors are highly recurrent and that the position in the template sequence and polymerase-specific substitution preferences are among the major factors influencing the observed PCR error rate.