Integrative haplotype estimation with sub-linear complexity

Abstract excerpt

The number of human genomes being genotyped or sequenced increases exponentially and efficient haplotype estimation methods able to handle this amount of data are now required. Here, we present a new method, SHAPEIT4, which substantially improves upon other methods to process large genotype and high coverage sequencing datasets. It notably exhibits sub-linear scaling with sample size, provides highly accurate hapl...

Topics

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• Biological Specimen Banks
• Data Interpretation, Statistical
• Datasets as Topic
• Haplotypes
• High-Throughput Nucleotide Sequencing
• Sample Size
• Sequence Analysis, DNA
• Software

Identifiers and source

Literature Corpus work

ce2400dd-4d36-513c-b416-96ddb0f4ad59

DOI

10.1101/493403