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HLA Typing

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Cover of 'HLA Typing'

Table of Contents

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    Book Overview
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    Chapter 1 The Past, Present, and Future of HLA Typing in Transplantation
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    Chapter 2 Role of Human Leukocyte Antigens (HLA) in Autoimmune Diseases
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    Chapter 3 The IPD Databases: Cataloguing and Understanding Allele Variants
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    Chapter 4 Allele Frequency Net Database
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    Chapter 5 High-Resolution HLA-Typing by Next-Generation Sequencing of Randomly Fragmented Target DNA
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    Chapter 6 High-Throughput Contiguous Full-Length Next-Generation Sequencing of HLA Class I and II Genes from 96 Donors in a Single MiSeq Run
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    Chapter 7 Application of High-Throughput Next-Generation Sequencing for HLA Typing on Buccal Extracted DNA
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    Chapter 8 Super High Resolution for Single Molecule-Sequence-Based Typing of Classical HLA Loci Using Ion Torrent PGM
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    Chapter 9 High-Resolution Full-Length HLA Typing Method Using Third Generation (Pac-Bio SMRT) Sequencing Technology
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    Chapter 10 Full-Length HLA Class I Genotyping with the MinION Nanopore Sequencer
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    Chapter 11 Imputation-Based HLA Typing with SNPs in GWAS Studies
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    Chapter 12 In Silico Typing of Classical and Non-classical HLA Alleles from Standard RNA-Seq Reads
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    Chapter 13 PHLAT: Inference of High-Resolution HLA Types from RNA and Whole Exome Sequencing
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    Chapter 14 Using Exome and Amplicon-Based Sequencing Data for High-Resolution HLA Typing with ATHLATES
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    Chapter 15 HLA Typing from Short-Read Sequencing Data with OptiType
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    Chapter 16 Comprehensive HLA Typing from a Current Allele Database Using Next-Generation Sequencing Data
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    Chapter 17 Accurate Assembly and Typing of HLA using a Graph-Guided Assembler Kourami
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    Chapter 18 AmpliSAS and AmpliHLA: Web Server Tools for MHC Typing of Non-Model Species and Human Using NGS Data
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    Chapter 19 HLA Haplotype Frequency Estimation from Real-Life Data with the Hapl-o-Mat Software
Attention for Chapter 3: The IPD Databases: Cataloguing and Understanding Allele Variants
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Chapter title
The IPD Databases: Cataloguing and Understanding Allele Variants
Chapter number 3
Book title
HLA Typing
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8546-3_3
Pubmed ID
Book ISBNs
978-1-4939-8545-6, 978-1-4939-8546-3
Authors

Jashan P. Abraham, Dominic J. Barker, James Robinson, Giuseppe Maccari, Steven G. E. Marsh, Abraham, Jashan P., Barker, Dominic J., Robinson, James, Maccari, Giuseppe, Marsh, Steven G. E.

Abstract

The IMGT/HLA Database has provided a repository for information regarding polymorphism in the genes of the immune system since 1998. In 2003, it was absorbed into the Immuno Polymorphism Database (IPD). The IPD project has enabled us to create and maintain a platform for curating and publishing locus-specific databases which are either involved directly with, or relate to, the function of the Major Histocompatibility Complex across a number of species. In collaboration with specialist groups and nomenclature committees individual sections have been curated prior to their submission to the IPD for online publication. The IPD consists of five core databases, with the primary database being the IMGT/HLA Database. With the work of various nomenclature committees, the HLA Informatics Group, and alongside the European Bioinformatics Institute, we provide access to this data through the website ( http://www.ebi.ac.uk/ipd/ ) to the public domain. The IPD project continually develops new tools in conjunction with on-going scientific developments-such as Next-Generation Sequencing-to maintain efficiency and usability in response to user feedback and requests. The website is updated on a regular basis to ensure that new and confirmatory sequences are distributed to the immunogenetics community, as well as the wider research and clinical communities.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 40%
Student > Bachelor 2 13%
Student > Ph. D. Student 2 13%
Student > Master 1 7%
Other 1 7%
Other 0 0%
Unknown 3 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 27%
Agricultural and Biological Sciences 3 20%
Medicine and Dentistry 2 13%
Computer Science 1 7%
Unknown 5 33%