Back
Bioinformatic and Statistical Analysis of Adaptive Immune Repertoires.
Journal article

Bioinformatic and Statistical Analysis of Adaptive Immune Repertoires.

  • Greiff V Department of Biosystems Science and Engineering, Eidgenössische Technische Hochschule (ETH Zürich), Mattenstrasse 26, Basel 4058, Switzerland.
  • Miho E Department of Biosystems Science and Engineering, Eidgenössische Technische Hochschule (ETH Zürich), Mattenstrasse 26, Basel 4058, Switzerland.
  • Menzel U Department of Biosystems Science and Engineering, Eidgenössische Technische Hochschule (ETH Zürich), Mattenstrasse 26, Basel 4058, Switzerland.
  • Reddy ST Department of Biosystems Science and Engineering, Eidgenössische Technische Hochschule (ETH Zürich), Mattenstrasse 26, Basel 4058, Switzerland. Electronic address: sai.reddy@ethz.ch.
  • 2015-10-29
Published in:
  • Trends in immunology. - 2015
Adaptive Immunity
Animals
Computational Biology
Data Interpretation, Statistical
High-Throughput Nucleotide Sequencing
Humans
English 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.
Language
  • English
Open access status
closed
Identifiers
Persistent URL
https://sonar.ch/global/documents/155178
Statistics
Document views: 77 File downloads: