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R. Keira Cheetham

Researcher at Illumina

Publications -  16
Citations -  25992

R. Keira Cheetham is an academic researcher from Illumina. The author has contributed to research in topics: Genomics & Cancer. The author has an hindex of 15, co-authored 16 publications receiving 19742 citations.

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A global reference for human genetic variation.

Adam Auton, +517 more
- 01 Oct 2015 - 
TL;DR: The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations, and has reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-generation sequencing, deep exome sequencing, and dense microarray genotyping.
Journal ArticleDOI

Accurate whole human genome sequencing using reversible terminator chemistry

David R. Bentley, +201 more
- 06 Nov 2008 - 
TL;DR: An approach that generates several billion bases of accurate nucleotide sequence per experiment at low cost is reported, effective for accurate, rapid and economical whole-genome re-sequencing and many other biomedical applications.

A global reference for human genetic variation

Adam Auton, +479 more
TL;DR: The 1000 Genomes Project as mentioned in this paper provided a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations, and reported the completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole genome sequencing, deep exome sequencing and dense microarray genotyping.
Journal ArticleDOI

Strelka: accurate somatic small-variant calling from sequenced tumor–normal sample pairs

TL;DR: Strelka is described, a method for somatic SNV and small indel detection from sequencing data of matched tumor-normal samples that uses a novel Bayesian approach which represents continuous allele frequencies for both tumor and normal samples, while leveraging the expected genotype structure of the normal.