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Goo Jun

Researcher at University of Texas Health Science Center at Houston

Publications -  92
Citations -  26551

Goo Jun is an academic researcher from University of Texas Health Science Center at Houston. The author has contributed to research in topics: Genome-wide association study & Exome sequencing. The author has an hindex of 30, co-authored 81 publications receiving 19812 citations. Previous affiliations of Goo Jun include University of Texas at Austin & University of Texas MD Anderson Cancer Center.

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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.

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

An integrated map of structural variation in 2,504 human genomes

Peter H. Sudmant, +87 more
- 01 Oct 2015 - 
TL;DR: In this paper, the authors describe an integrated set of eight structural variant classes comprising both balanced and unbalanced variants, which are constructed using short-read DNA sequencing data and statistically phased onto haplotype blocks in 26 human populations.
Journal ArticleDOI

Analysis of 6,515 exomes reveals the recent origin of most human protein-coding variants

TL;DR: The results better delimit the historical details of human protein-coding variation, show the profound effect of recent human history on the burden of deleterious SNVs segregating in contemporary populations, and provide important practical information that can be used to prioritize variants in disease-gene discovery.