Towards error-free profiling of immune repertoires

Mikhail Shugay, Olga V. Britanova, Ekaterina M. Merzlyak, Maria A. Turchaninova, Ilgar Z. Mamedov, Timur R. Tuganbaev, Dmitriy A. Bolotin, Dmitry B. Staroverov, Ekaterina V. Putintseva, Karla Plevova, Carsten Linnemann, Dmitriy Shagin, Sarka Pospisilova, Sergey Lukyanov, Ton N. Schumacher, Dmitriy M. Chudakov

Research output: Contribution to journalArticlepeer-review

263 Citations (Scopus)


Deep profiling of antibody and T cell-receptor repertoires by means of high-throughput sequencing has become an attractive approach for adaptive immunity studies, but its power is substantially compromised by the accumulation of PCR and sequencing errors. Here we report MIGEC (molecular identifier groups-based error correction), a strategy for high-throughput sequencing data analysis. MIGEC allows for nearly absolute error correction while fully preserving the natural diversity of complex immune repertoires.

Original languageEnglish
Pages (from-to)653-655
Number of pages3
JournalNature Methods
Issue number6
Publication statusPublished - Jun 2014
Externally publishedYes


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