Bioinformatic and statistical analysis of adaptive immune repertoires
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Author (Corporation)
Publication date
10/2015
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Type
01A - Journal article
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Parent work
Trends in Immunology
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Series
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Volume
36
Issue / Number
11
Pages / Duration
738-749
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Publisher / Publishing institution
Cell Press
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Abstract
High-throughput sequencing (HTS) of immune repertoires has enabled the quantitative analysis of adaptive immune responses and offers the potential to revolutionize research in lymphocyte biology, vaccine profiling, and mono clonal antibody engineering. Advances in sequencing technology coupled to an exponential decline in sequencing costs have fueled the recent over whelming interest in immune repertoire sequencing. This, in turn, has sparked the development of numerous methods for bioinformatic and statistics-driven
interpretation and visualization of immune repertoires. Here, we review the current literature on bioinformatic and statistical analysis of immune reper toire HTS data and discuss underlying assumptions, applicability, and scope. We further highlight important directions for future research, which could propel immune repertoire HTS to becoming a standard method for measuring adaptive immune responses.
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ISBN
ISSN
1471-4906
1471-4981
1471-4981
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
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Peer review of the complete publication
Open access category
Closed
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Citation
Greiff, V., Miho, E., Menzel, U., & Reddy, S. T. (2015). Bioinformatic and statistical analysis of adaptive immune repertoires. Trends in Immunology, 36(11), 738–749. https://doi.org/10.1016/j.it.2015.09.006