Authors
David E Larson, Haley J Abel, Colby Chiang, Abhijit Badve, Indraniel Das, James M Eldred, Ryan M Layer, Ira M Hall
Publication date
2019/6/20
Journal
Bioinformatics
Volume
35
Issue
22
Pages
4782-4787
Publisher
Oxford University Press
Description
Summary
Large-scale human genetics studies are now employing whole genome sequencing with the goal of conducting comprehensive trait mapping analyses of all forms of genome variation. However, methods for structural variation (SV) analysis have lagged far behind those for smaller scale variants, and there is an urgent need to develop more efficient tools that scale to the size of human populations. Here, we present a fast and highly scalable software toolkit (svtools) and cloud-based pipeline for assembling high quality SV maps—including deletions, duplications, mobile element insertions, inversions and other rearrangements—in many thousands of human genomes. We show that this pipeline achieves similar variant detection performance to established per-sample methods (e.g. LUMPY), while providing fast and affordable joint analysis at the scale of ≥100 000 genomes. These tools …
Total citations
20192020202120222023202415148134
Scholar articles
DE Larson, HJ Abel, C Chiang, A Badve, I Das… - Bioinformatics, 2019