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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Nature Methodsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Nature Methods
Article . 2014 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
Nature Methods
Article
License: Springer TDM
Data sources: Sygma
Nature Methods
Article . 2014
Nature Methods
Article . 2014 . Peer-reviewed
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Towards error-free profiling of immune repertoires

Authors: Mikhail Shugay; Olga V Britanova; Ekaterina M Merzlyak; Maria A Turchaninova; Ilgar Z Mamedov; Timur R Tuganbaev; Dmitriy A Bolotin; +9 Authors

Towards error-free profiling of immune repertoires

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.

Keywords

Research Design, Receptors, Antigen, T-Cell, High-Throughput Nucleotide Sequencing, DNA Fingerprinting, Polymerase Chain Reaction

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    394
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
394
Top 0.1%
Top 1%
Top 1%
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