Titlebook: HLA Typing; Methods and Protocol Sebastian Boegel Book 2024Latest edition The Editor(s) (if applicable) and The Author(s), under exclusive

GRACE

Submitting Novel Full-Length HLA, MIC, and KIR Alleles with TypeLoader2, regions like the antigen recognition domain (ARD) for HLA genotyping, and the databases are populated accordingly. More recently, though, modern next generation sequencing (NGS) assays allow using larger gene segments or even complete genes for genotyping. It is therefore essential that the databas

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fastness

Graph-Based Imputation Methods and Their Applications to Single Donors and Families,ent. However, donors and sometimes recipients are often typed at low resolution, with some alleles either missing or ambiguous. Thus, imputation methods are required to detect the most probably high-resolution HLA haplotypes consistent with a typing. Such imputation algorithms require predefined hap

GULP

How to Predict Binding Specificity and Ligands for New MHC-II Alleles with MixMHC2pred,rphism of MHC-II genes within species and the fast-evolving nature of these genes across species has resulted in tens of thousands of different alleles, with hundreds of new alleles being discovered yearly through large sequencing projects in different species. Here we describe how to use MixMHC2pre

四指套

DeepHLApan: A Deep Learning Approach for the Prediction of Peptide-HLA Binding and Immunogenicity,cs prediction for tumor neoantigens has rapidly developed, focusing on the prediction of peptide-HLA binding affinity. In this chapter, we introduce a user-friendly tool named DeepHLApan, which utilizes deep learning techniques to predict neoantigens by considering both peptide-HLA binding affinity

linguistics

CHOP

Designing High Binding Affinity Peptides for MHC Class I Using MAM: An In Silico Approach,inding motifs. These computational tools leverage the wealth of binding data to extract essential features and generate a multitude of potential peptides, thereby significantly reducing the cost and time required for experimental procedures. MAM is one such tool for predicting the MHC-I-peptide bind

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MHCtools 1.5: Analysis of MHC Sequencing Data in R,evolutionary biology. While the MHC has been characterized in detail in humans (human leukocyte antigen, HLA) and in model organisms such as the mouse, studies in non-model organisms often lack prior knowledge about structure, genetic variability, and evolutionary properties of this locus. MHC genot

Arteriography

The Cuban State and the Cuban People,enome. MHC proteins play a key role in antigen-specific immunity and are associated with a wide range of complex diseases. Despite decades of research and many advances in the field, the characterization and interpretation of its genetic and genomic variability remain challenging. Here an overview i

Frequency-Range