Processing genome-wide association studies within a repository of heterogeneous genomic datasets

Processing genome-wide association studies within a repository of heterogeneous genomic datasets

Abstract Background Genome Wide Association Studies (GWAS) are based on the observation of genome-wide sets of genetic variants – typically single-nucleotide polymorphisms (SNPs) – in different individuals that are associated with phenotypic traits. Research efforts have so far been directed to impr...

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Bibliographic Details
Main Authors: Anna Bernasconi, Arif Canakoglu, Federico Comolli
Format: Article
Language:English
Published: BMC 2023-03-01
Series:BMC Genomic Data
Subjects:
Data integration
Processed datasets
Tertiary data analysis
Genomics
Multiomics studies
GWAS
Online Access:https://doi.org/10.1186/s12863-023-01111-y

Internet

https://doi.org/10.1186/s12863-023-01111-y

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