Efficient storage and regression computation for population-scale genome sequencing studies

Abstract excerpt

In the era of big data in human genetics, large-scale biobanks aggregating genetic data from diverse populations have emerged as important for advancing our understanding of human health and disease. However, the computational and storage demands of whole genome sequencing (WGS) studies pose significant challenges, especially for researchers from underfunded institutions or developing countries, creating a dispari...

Topics

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• Case-Control Studies
• Computational Biology
• Genome-Wide Association Study
• Genomics
• Genotype
• Logistic Models
• Machine Learning
• Reproducibility of Results

Identifiers and source

Literature Corpus work

ecb006ea-683c-5f09-93e9-8f170899e9a4

DOI

10.1101/2024.04.11.589062