Statistical analysis of antigen receptor spectratype data | Zendy

Thomas B. Kepler | Zendy; Min He | Zendy; John K. Tomfohr | Zendy; Blythe H. Devlin | Zendy; Marcella Sarzotti | Zendy; M. Louise Markert | Zendy

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Statistical analysis of antigen receptor spectratype data

Author(s) -

Thomas B. Kepler,

Min He,

John K. Tomfohr,

Blythe H. Devlin,

Marcella Sarzotti,

M. Louise Markert

Publication year - 2005

Publication title -

computer applications in the biosciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1460-2059

pISSN - 0266-7061

DOI - 10.1093/bioinformatics/bti539

Subject(s) - repertoire , multinomial distribution , t cell receptor , antigen , diversity (politics) , biology , statistical analysis , computational biology , immunology , statistics , immune system , t cell , mathematics , physics , sociology , anthropology , acoustics

The effectiveness of vertebrate adaptive immunity depends crucially on the establishment and maintenance of extreme diversity in the antigen receptor repertoire. Spectratype analysis is a method used in clinical and basic immunological settings in which antigen receptor length diversity is assessed as a surrogate for functional diversity. The purpose of this paper is to describe the systematic derivation and application of statistical methods for the analysis of spectratype data.

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