Bioinformatic and Statistical Analysis of Adaptive Immune Repertoires

• Published in: Trends in immunology Vol. 36; no. 11; pp. 738 - 749
• Main Authors: Greiff, Victor, Miho, Enkelejda, Menzel, Ulrike, Reddy, Sai T
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.11.2015; Elsevier Limited
• Subjects: Adaptive Immunity - immunology; Allergy and Immunology; Animals; Antigens; Bioinformatics; Cloning; Computational Biology; Data Interpretation, Statistical; Datasets; Error correction & detection; High-Throughput Nucleotide Sequencing; Humans; Immunology; Lymphocytes; Methods; Phylogenetics; Population; Statistical analysis; Studies; T cell receptors
• ISSN: 1471-4906; 1471-4981
• DOI: 10.1016/j.it.2015.09.006

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 monoclonal antibody engineering. Advances in sequencing technology coupled to an exponential decline in sequencing costs have fueled the recent overwhelming 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 repertoire 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.