Large-scale network analysis reveals the sequence space architecture of antibody repertoires
Analysis of large-scale immune repertoire architecture remains a challenge. Here, the authors introduce an approach to construct similarity networks from high-throughput antibody repertoire sequencing data, and show that the networks are redundant, robust and reproducible across individuals.
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| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2019
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/f6972148747046a6ac850662095375ec |
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| Sumario: | Analysis of large-scale immune repertoire architecture remains a challenge. Here, the authors introduce an approach to construct similarity networks from high-throughput antibody repertoire sequencing data, and show that the networks are redundant, robust and reproducible across individuals. |
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