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 language | English |
|---|---|
| Pages (from-to) | 4840-4842 |
| Number of pages | 3 |
| Journal | Bioinformatics |
| Volume | 35 |
| Issue number | 22 |
| DOIs | |
| State | Published - 1 Nov 2019 |
Bibliographical note
Publisher Copyright:© 2019 The Author(s). All rights reserved.
Funding
This work was supported by the European Union’s Horizon 2020 research and innovation program under Grant Agreement No. 825821. The contents of this document are the sole responsibility of the iReceptor Plus Consortium and can under no circumstances be regarded as reflecting the position of the European Union. This research was also supported by the ISF [Grant No. 832/16].
| Funders | Funder number |
|---|---|
| European Union’s Horizon 2020 | |
| Horizon 2020 Framework Programme | 825821 |
| Israel Science Foundation | 832/16 |