Manhattan Harvester and Cropper: a system for GWAS peak detection
Abstract Background Selection of interesting regions from genome wide association studies (GWAS) is typically performed by eyeballing of Manhattan Plots. This is no longer possible with thousands of different phenotypes. There is a need for tools that can automatically detect genomic regions that co...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-01-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-019-2600-4 |