Del i serien Methods in Molecular Biology

HLA Typing

Methods and Protocols

Häftad, Engelska, 2019

2 429 kr

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This volume explores the rapidly evolving field of HLA typing and its use in both the laboratory setting and in silico methods.

Produktinformation

Utgivningsdatum2019-07-25
Mått178 x 254 x 16 mm
Vikt645 g
FormatHäftad
SpråkEngelska
SerieMethods in Molecular Biology
Antal sidor287
FörlagHumana Press Inc.
ISBN9781493993215

Tillhör följande kategorier

Onkologi inom Medicin
Hematologi inom Medicin

The Past, Present, and Future of HLA Typing in Transplantation.- Role of Human Leukocyte Antigens (HLA) in Autoimmune Diseases.- The IPD Databases: Cataloguing and Understanding Allele Variants.- Allele Frequency Net Database.- High Resolution HLA-Typing by Next Generation Sequencing of Randomly Fragmented Target DNA.- High-Throughput Contiguous Full-Length Next Generation Sequencing of HLA Class I and II Genes from 96 Donors in a Single MiSeq Run.- Application of High-Throughput Next Generation Sequencing for HLA Typing on Buccal Extracted DNA.- Super High Resolution for Single Molecule-Sequence-Based Typing of Classical HLA loci using Ion Torrent PGM.- High Resolution Full-Length HLA Typing Method using Third Generation (Pac-Bio SMRT) Sequencing Technology.- Full-Length HLA Class I Genotyping with the MinION Nanopore Sequencer.- Imputation-Based HLA Typing with SNPs in GWAS Studies.- In Silico Typing of Classical and Non-Classical HLA Alleles from Standard RNA-Seq Reads.- PHLAT: Inference of High Resolution HLA Types from RNA and Whole Exome Sequencing.- Using Exome and Amplicon-Based Sequencing Data for High-Resolution HLA Typing with ATHLATES.- HLA Typing from Short-Read Sequencing Data with OptiType.- Comprehensive HLA Typing from a Current Allele Database using Next Generation Sequencing Data.- Accurate Assembly and Typing of HLA using a Graph-Guided Assembler Kourami.- AmpliSAS and AmpliHLA: Web Server Tools for MHC Typing of Non-Model Species and Human using NGS Data.- HLA Haplotype Frequency Estimation from Real-Life Data with the Hapl-o-Mat Software.