Decombinator: a tool for fast, efficient gene assignment in T-cell receptor sequences using a finite state machine. - Niclas Thomas; James M. Heather; Wilfred Ndifon; John Shawe-Taylor; Benjamin Chain (Bioinform., 2013)

Feature selection using a one dimensional naïve Bayes' classifier increases the accuracy of support vector machine classification of CDR3 repertoires. - Mattia Cinelli; Yuxin Sun; Katharine Best; James M. Heather; Shlomit Reich-Zeliger (Bioinform., 2017)

High-throughput sequencing of the T-cell receptor repertoire: pitfalls and opportunities. - James M. Heather; Mazlina Ismail; Theres Oakes; Benny Chain (Briefings Bioinform., 2018)

Decombinator V4: an improved AIRR compliant-software package for T-cell receptor sequence annotation? - Thomas Peacock; James M. Heather; Tahel Ronel; Benny Chain (Bioinform., 2021)

Corrigendum to: Decombinator V4: an improved AIRR-C compliant software package for T-cell receptor sequence annotation. - Thomas Peacock; James M. Heather; Tahel Ronel; Benny Chain (Bioinform., 2022)