Chapter title |
PHLAT: Inference of High-Resolution HLA Types from RNA and Whole Exome Sequencing
|
---|---|
Chapter number | 13 |
Book title |
HLA Typing
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-8546-3_13 |
Pubmed ID | |
Book ISBNs |
978-1-4939-8545-6, 978-1-4939-8546-3
|
Authors |
Yu Bai, David Wang, Wen Fury, Bai, Yu, Wang, David, Fury, Wen |
Abstract |
Inferring HLA types from genome-wide sequencing data has gained growing attention with the development of new cost-efficient sequencing technologies and the increasing need to integrate HLA types with transcriptomic or other genomic information for insights into immune-mediated diseases, vaccination, and cancer immunotherapy. PHLAT is a computational tool designed for high-resolution (4-digit) typing of the major class I and class II HLA genes using RNAseq or exome sequencing data as input. We illustrate here how PHLAT can be installed, configured, and executed. This document also provides guidance for how to read and interpret the output results. Finally, the best practices of using PHLAT are also discussed. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 2 | 17% |
Australia | 2 | 17% |
United States | 1 | 8% |
France | 1 | 8% |
Unknown | 6 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 50% |
Scientists | 5 | 42% |
Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 43 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 26% |
Student > Ph. D. Student | 8 | 19% |
Other | 4 | 9% |
Student > Postgraduate | 4 | 9% |
Student > Bachelor | 2 | 5% |
Other | 6 | 14% |
Unknown | 8 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 15 | 35% |
Immunology and Microbiology | 6 | 14% |
Medicine and Dentistry | 5 | 12% |
Computer Science | 4 | 9% |
Agricultural and Biological Sciences | 4 | 9% |
Other | 0 | 0% |
Unknown | 9 | 21% |