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HLA Typing

Overview of attention for book
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 9: High-Resolution Full-Length HLA Typing Method Using Third Generation (Pac-Bio SMRT) Sequencing Technology
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Chapter title
High-Resolution Full-Length HLA Typing Method Using Third Generation (Pac-Bio SMRT) Sequencing Technology
Chapter number 9
Book title
HLA Typing
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8546-3_9
Pubmed ID
29858806
Book ISBNs
978-1-4939-8545-6, 978-1-4939-8546-3
Authors

Sheetal Ambardar, Malali Gowda, Ambardar, Sheetal, Gowda, Malali

Abstract

The human HLA genes are among the most polymorphic genes in the human genome. Therefore, it is very difficult to find two unrelated individuals with identical HLA molecules. As a result, HLA Class I and Class II genes are routinely sequenced or serotyped for organ transplantation, autoimmune disease-association studies, drug hypersensitivity research, and other applications. However, these methods were able to give two or four digit data, which was not sufficient enough to understand the completeness of haplotypes of HLA genes. To overcome these limitations, we here described end-to-end workflow for sequencing of HLA class I and class II genes using third generation sequencing, SMRT technology. This method produces fully-phased, unambiguous, allele-level information on the PacBio System.

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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 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 2 13%
Other 2 13%
Lecturer > Senior Lecturer 1 7%
Student > Ph. D. Student 1 7%
Professor > Associate Professor 1 7%
Other 0 0%
Unknown 8 53%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 20%
Agricultural and Biological Sciences 1 7%
Psychology 1 7%
Immunology and Microbiology 1 7%
Unknown 9 60%
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 03 June 2018.
All research outputs
#20,520,426
of 23,088,369 outputs
Outputs from Methods in molecular biology
#9,973
of 13,206 outputs
Outputs of similar age
#378,473
of 442,629 outputs
Outputs of similar age from Methods in molecular biology
#1,194
of 1,499 outputs
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So far Altmetric has tracked 13,206 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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