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Kässens et al., 2021 - Google Patents

BIGwas: Single-command quality control and association testing for multi-cohort and biobank-scale GWAS/PheWAS data

Kässens et al., 2021

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Document ID
8481786351037530516
Author
Kässens J
Wienbrandt L
Ellinghaus D
Publication year
Publication venue
GigaScience

External Links

Snippet

Background Genome-wide association studies (GWAS) and phenome-wide association studies (PheWAS) involving 1 million GWAS samples from dozens of population-based biobanks present a considerable computational challenge and are carried out by large …
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Classifications

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    • G06F19/18—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
    • G—PHYSICS
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    • G06F19/22—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for sequence comparison involving nucleotides or amino acids, e.g. homology search, motif or SNP [Single-Nucleotide Polymorphism] discovery or sequence alignment
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