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HLA Typing

Overview of attention for book
Cover of 'HLA Typing'

Table of Contents

  1. Altmetric Badge
    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 10: Full-Length HLA Class I Genotyping with the MinION Nanopore Sequencer
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Chapter title
Full-Length HLA Class I Genotyping with the MinION Nanopore Sequencer
Chapter number 10
Book title
HLA Typing
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8546-3_10
Pubmed ID
29858807
Book ISBNs
978-1-4939-8545-6, 978-1-4939-8546-3
Authors

Kathrin Lang, Vineeth Surendranath, Philipp Quenzel, Gerhard Schöfl, Alexander H. Schmidt, Vinzenz Lange, Lang, Kathrin, Surendranath, Vineeth, Quenzel, Philipp, Schöfl, Gerhard, Schmidt, Alexander H., Lange, Vinzenz

Abstract

Nanopore sequencing, a paradigm change in sequencing technologies, offers a new cost-effective and scalable platform for HLA genotyping. Among the new generation of high-throughput sequencing technologies, the MinION nanopore sequencer is the first to offer a non-template-based direct DNA sensing sequencing technology. Oxford Nanopore Technologies (ONT) introduced the first version of the MinION in 2014; since then, the platform has gone through multiple iterations resulting in higher throughput and sequencing accuracy. The "what you put in is what you get" nature of the platform enables molecules to be sequenced without fragmentation. This results in ultra-long read lengths in the order of tens of kilobases enabling entire genes to be characterized with fully phased sequence information. With release R9.5, the MinION platform has reached a quality that enables HLA genotyping with minor shortcomings in long homopolymer regions. Within this chapter, we describe a protocol for sequencing and genotyping HLA Class I alleles using the MinION.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 27%
Student > Ph. D. Student 4 18%
Other 3 14%
Student > Master 2 9%
Lecturer > Senior Lecturer 1 5%
Other 3 14%
Unknown 3 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 23%
Medicine and Dentistry 3 14%
Agricultural and Biological Sciences 2 9%
Immunology and Microbiology 2 9%
Computer Science 1 5%
Other 2 9%
Unknown 7 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 June 2018.
All research outputs
#18,635,458
of 23,085,832 outputs
Outputs from Methods in molecular biology
#7,986
of 13,204 outputs
Outputs of similar age
#330,843
of 442,628 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,499 outputs
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So far Altmetric has tracked 13,204 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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