RAbHIT: R Antibody Haplotype Inference Tool

Ayelet Peres, Moriah Gidoni, Pazit Polak, Gur Yaari

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Antibody haplotype inference (chromosomal phasing) may have clinical implications for the identification of genetic predispositions to diseases. Yet, our knowledge of the genomic loci encoding for the variable regions of the antibody is only partial, mostly due to the challenge of aligning short reads from genome sequencing to these highly repetitive loci. A powerful approach to infer the content of these loci relies on analyzing repertoires of rearranged V(D)J sequences. We present here RAbHIT, an R Haplotype Antibody Inference Tool, that implements a novel algorithm to infer V(D)J haplotypes by adapting a Bayesian framework. RAbHIT offers inference of haplotype and gene deletions. It may be applied to sequences from naïve and non-naïve B-cells, sequenced by different library preparation protocols.

Original languageEnglish
Pages (from-to)4840-4842
Number of pages3
JournalBioinformatics
Volume35
Issue number22
DOIs
StatePublished - 1 Nov 2019

Bibliographical note

Publisher Copyright:
© 2019 The Author(s). All rights reserved.

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