ArticlePLoS computational biology2020
Automated analysis of immunosequencing datasets reveals novel immunoglobulin D genes across diverse species.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Induction of broadly neutralizing HIV antibodies by a two-step mechanism informs vaccine design.Science (New York, N.Y.) · 2026Article
- Env-antibody coevolution identifies B cell priming as the principal bottleneck to HIV V2 apex broadly neutralizing antibody development.Science immunology · 2026Article
- Structural and genetic basis of HIV-1 envelope V2 apex recognition by rhesus broadly neutralizing antibodies.The Journal of experimental medicine · 2025Article
- Consistent Induction of Broadly Neutralizing HIV Antibodies by a Novel Two-Step Mechanism Informs Immunogen Design.bioRxiv : the preprint server for biology · 2025Article
- Systematic evaluation of B-cell clonal family inference approaches.BMC immunology · 2024Article
- Adaptive immune receptor genotyping using theFrontiers in immunology · 2023Article
- Variations in antibody repertoires correlate with vaccine responses.Genome research · 2022Article
- Immunoglobulin germline gene variation and its impact on human disease.Genes and immunity · 2021Review
- Population matched (pm) germline allelic variants of immunoglobulin (IG) loci: Relevance in infectious diseases and vaccination studies in human populations.Genes and immunity · 2021Article
- Trace Reconstruction Problems in Computational Biology.IEEE transactions on information theory · 2021Article
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5 authors.
Funding
Abstract
Immunoglobulin genes are formed through V(D)J recombination, which joins the variable (V), diversity (D), and joining (J) germline genes. Since variations in germline genes have been linked to various diseases, personalized immunogenomics focuses on finding alleles of germline genes across various patients. Although reconstruction of V and J genes is a well-studied problem, the more challenging task of reconstructing D genes remained open until the IgScout algorithm was developed in 2019. In this work, we address limitations of IgScout by developing a probabilistic MINING-D algorithm for D gene reconstruction, apply it to hundreds of immunosequencing datasets from multiple species, and validate the newly inferred D genes by analyzing diverse whole genome sequencing datasets and haplotyping heterozygous V genes.
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