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HLA-MA: simple yet powerful matching of samples using HLA typing results
- Source :
- Bioinformatics. 33:2241-2242
- Publication Year :
- 2017
- Publisher :
- Oxford University Press (OUP), 2017.
-
Abstract
- Summary We propose the simple method HLA-MA for consistency checking in pipelines operating on human HTS data. The method is based on the HLA typing result of the state-of-the-art method OptiType. Provided that there is sufficient coverage of the HLA loci, comparing HLA types allows for simple, fast and robust matching of samples from whole genome, exome and RNA-seq data. Our approach uses information from small but genetically highly variable regions and thus complements approaches that rely on genome or exon-wide variant profiles. Availability and Implementation The software is implemented In Python 3 and freely available under the MIT license at https://github.com/bihealth/hlama and via Bioconda. Supplementary information Supplementary data are available at Bioinformatics online.
- Subjects :
- 0301 basic medicine
Statistics and Probability
Matching (statistics)
Computer science
Sample (statistics)
Locus (genetics)
Computational biology
Human leukocyte antigen
computer.software_genre
Biochemistry
Genome
03 medical and health sciences
Consistency (database systems)
Software
Simple (abstract algebra)
medicine
Humans
Molecular Biology
Exome
computer.programming_language
Sequence Analysis, RNA
business.industry
Histocompatibility Testing
Microsatellite instability
Sequence Analysis, DNA
Python (programming language)
medicine.disease
Computer Science Applications
Computational Mathematics
030104 developmental biology
Computational Theory and Mathematics
Data mining
Technology Platforms
business
computer
Subjects
Details
- ISSN :
- 13674811 and 13674803
- Volume :
- 33
- Database :
- OpenAIRE
- Journal :
- Bioinformatics
- Accession number :
- edsair.doi.dedup.....9309da69c0b96b2d5f259602fc0f10f5