Towards error-free profiling of immune repertoires - PubMed (original) (raw)

doi: 10.1038/nmeth.2960. Epub 2014 May 4.

Olga V Britanova 2, Ekaterina M Merzlyak 2, Maria A Turchaninova 2, Ilgar Z Mamedov 3, Timur R Tuganbaev 4, Dmitriy A Bolotin 4, Dmitry B Staroverov 4, Ekaterina V Putintseva 4, Karla Plevova 5, Carsten Linnemann 6, Dmitriy Shagin 7, Sarka Pospisilova 5, Sergey Lukyanov 7, Ton N Schumacher 6, Dmitriy M Chudakov 8

Affiliations

• PMID: 24793455
• DOI: 10.1038/nmeth.2960

Towards error-free profiling of immune repertoires

Mikhail Shugay et al. Nat Methods. 2014 Jun.

Abstract

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.

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Comment in

• The author file: Dmitriy Chudakov.
  Marx V. Marx V. Nat Methods. 2014 Jun;11(6):595. doi: 10.1038/nmeth.2975. Nat Methods. 2014. PMID: 25019144 No abstract available.

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