ArticleEvolutionary bioinformatics online2015
Using uniformat and gene[rate] to Analyze Data with Ambiguities in Population Genetics.
Article in Evolutionary bioinformatics online, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Evidence for Pathogen-Driven Selection Acting onEcology and evolution · 2025Article
- Human leukocyte antigen allele and haplotype frequencies in Singapore bone marrow donors and cord blood units.Blood cell therapy · 2022Article
- High Resolution HLA ∼A, ∼B, ∼C, ∼DRB1, ∼DQA1, and ∼DQB1 Diversity in South African Populations.Frontiers in genetics · 2022Article
- Maternal HLA Ib Polymorphisms in Pregnancy Allo-Immunization.Frontiers in immunology · 2021Article
- Similar patterns of genetic diversity and linkage disequilibrium in Western chimpanzees (Pan troglodytes verus) and humans indicate highly conserved mechanisms of MHC molecular evolution.BMC evolutionary biology · 2020Article
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- High-resolution HLA phased haplotype frequencies to predict the success of unrelated donor searches and clinical outcome following hematopoietic stem cell transplantation.Bone marrow transplantation · 2019Article
- Spatial analyzes of HLA data in Rio Grande do Sul, south Brazil: genetic structure and possible correlation with autoimmune diseases.International journal of health geographics · 2018Article
- Article
- Article
- Performance of an allele-level multi-locus HLA genotype imputation tool in hematopoietic stem cell donors from Quebec.Immunity, inflammation and disease · 2017Article
- Association of HLA-A and Non-Classical HLA Class I Alleles.PloS one · 2016Article
- HLA supertype variation across populations: new insights into the role of natural selection in the evolution of HLA-A and HLA-B polymorphisms.Immunogenetics · 2015Article
- Evolutionary Genomics.Evolutionary bioinformatics online · 2015Article
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Abstract
Some genetic systems frequently present ambiguous data that cannot be straightforwardly analyzed with common methods of population genetics. Two possibilities arise to analyze such data: one is the arbitrary simplification of the data and the other is the development of methods adapted to such ambiguous data. In this article, we present an attempt at such a development, the uniformat grammar and The gene[rate] tools, highlighting the specific aspects and the adaptations required to analyze ambiguous nominal data in population genetics.
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