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...

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Veröffentlicht in:	BMC bioinformatics Jg. 20; H. 1; S. 22 - 8
Hauptverfasser:	Haller, Toomas, Tasa, Tõnis, Metspalu, Andres
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 11.01.2019 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	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-Zugang:	Volltext
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