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

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

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Title: Clonify: unseeded antibody lineage assignment from next-generation sequencing data
Author: Briney, Bryan; Le, Khoa; Zhu, Jiang; Burton, Dennis R.

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Citation: Briney, Bryan, Khoa Le, Jiang Zhu, and Dennis R. Burton. 2016. “Clonify: unseeded antibody lineage assignment from next-generation sequencing data.” Scientific Reports 6 (1): 23901. doi:10.1038/srep23901. http://dx.doi.org/10.1038/srep23901.
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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.
Published Version: doi:10.1038/srep23901
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4840318/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:26860026
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