Towards pan-genome read alignment to improve variation calling

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Valenzuela , D , Norri , T , Välimäki , N , Pitkänen , E & Mäkinen , V 2018 , ' Towards pan-genome read alignment to improve variation calling ' , BMC Genomics , vol. 19 , 87 . https://doi.org/10.1186/s12864-018-4465-8

Title: Towards pan-genome read alignment to improve variation calling
Author: Valenzuela, Daniel; Norri, Tuukka; Välimäki, Niko; Pitkänen, Esa; Mäkinen, Veli
Other contributor: University of Helsinki, Helsinki Institute for Information Technology
University of Helsinki, Genome-scale Algorithmics research group / Veli Mäkinen
University of Helsinki, Research Programs Unit
University of Helsinki, Genome-scale Algorithmics research group / Veli Mäkinen








Date: 2018-05-09
Language: eng
Number of pages: 8
Belongs to series: BMC Genomics
ISSN: 1471-2164
DOI: https://doi.org/10.1186/s12864-018-4465-8
URI: http://hdl.handle.net/10138/235453
Abstract: Background: Typical human genome differs from the reference genome at 4-5 million sites. This diversity is increasingly catalogued in repositories such as ExAC/gnomAD, consisting of >15,000 whole-genomes and >126,000 exome sequences from different individuals. Despite this enormous diversity, resequencing data workflows are still based on a single human reference genome. Identification and genotyping of genetic variants is typically carried out on short-read data aligned to a single reference, disregarding the underlying variation. Results: We propose a new unified framework for variant calling with short-read data utilizing a representation of human genetic variation - a pan-genomic reference. We provide a modular pipeline that can be seamlessly incorporated into existing sequencing data analysis workflows. Our tool is open source and available online: https://gitlab.com/dvalenzu/PanVC. Conclusions: Our experiments show that by replacing a standard human reference with a pan-genomic one we achieve an improvement in single-nucleotide variant calling accuracy and in short indel calling accuracy over the widely adopted Genome Analysis Toolkit (GATK) in difficult genomic regions.
Subject: Pan-genome reference
Variation calling
Read alignment
BURROWS-WHEELER TRANSFORM
GENETIC-VARIATION
COLLECTIONS
INFERENCE
PROJECT
3111 Biomedicine
113 Computer and information sciences
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