Filtering Next-Generation Sequencing of the Ig Gene Repertoire Data Using Antibody Structural Information.

ABSTRACT: Next-generation sequencing of the Ig gene repertoire (Ig-seq) produces large volumes of information at the nucleotide sequence level. Such data have improved our understanding of immune systems across numerous species and have already been successfully applied in vaccine development and drug discovery. However, the high-throughput nature of Ig-seq means that it is afflicted by high error rates. This has led to the development of error-correction approaches. Computational error-correction methods use sequence information alone, primarily designating sequences as likely to be correct if they are observed frequently. In this work, we describe an orthogonal method for filtering Ig-seq data, which considers the structural viability of each sequence. A typical natural Ab structure requires the p

SUBMITTER: Kovaltsuk A 

PROVIDER: S-EPMC6485405 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature