Clonify: unseeded antibody lineage assignment from next-generation sequencing data.

TitleClonify: unseeded antibody lineage assignment from next-generation sequencing data.
Publication TypeJournal Article
Year of Publication2016
AuthorsBriney B, Le K, Zhu J, Burton DR
JournalSci Rep
Volume6
Pagination23901
Date Published04/22/2016
ISSN2045-2322
Abstract

Defining the dynamics and maturation processes of antibody clonal lineages is crucial to understanding the humoral response to infection and immunization. Although individual antibody lineages have been previously analyzed in isolation, these studies provide only a narrow view of the total antibody response. Comprehensive study of antibody lineages has been limited by the lack of an accurate clonal lineage assignment algorithm capable of operating on next-generation sequencing datasets. To address this shortcoming, we developed Clonify, which is able to perform unseeded lineage assignment on very large sets of antibody sequences. Application of Clonify to IgG+ memory repertoires from healthy individuals revealed a surprising lack of influence of large extended lineages on the overall repertoire composition, indicating that this composition is driven less by the order and frequency of pathogen encounters than previously thought. Clonify is freely available at www.github.com/briney/clonify-python.

DOI10.1038/srep23901
Alternate JournalSci Rep
PubMed ID27102563
PubMed Central IDPMC4840318
Grant ListT32 AI007244 / AI / NIAID NIH HHS / United States
UM1 AI100663 / AI / NIAID NIH HHS / United States
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