Manhattan Harvester and Cropper: a system for GWAS peak detection

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 correspond...

Full description

Saved in:

Bibliographic Details
Published in:	BMC bioinformatics Vol. 20; no. 1; pp. 22 - 8
Main Authors:	Haller, Toomas, Tasa, Tõnis, Metspalu, Andres
Format:	Journal Article
Language:	English
Published:	London BioMed Central 11.01.2019 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Algorithms Bioinformatics Biomedical and Life Sciences Computational Biology/Bioinformatics Computer Appl. in Life Sciences Computer programs Genome-wide association studies Genomes GWAS Harvesters Harvesting Inspection Life Sciences Manhattan plots Microarrays Parameters Peak detection Peak quality score Phenotypes Regression analysis Researchers Results and data Science Software Technology application Estonia Peak detection Software GWAS Peak quality score Manhattan plots
ISSN:	1471-2105, 1471-2105
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!