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Yu Kong

Researcher at Albert Einstein College of Medicine

Publications -  18
Citations -  18210

Yu Kong is an academic researcher from Albert Einstein College of Medicine. The author has contributed to research in topics: DNA methylation & Genome-wide association study. The author has an hindex of 8, co-authored 17 publications receiving 12600 citations. Previous affiliations of Yu Kong include Yeshiva University & Texas A&M University.

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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

Transposable element expression in tumors is associated with immune infiltration and increased antigenicity.

TL;DR: REdiscoverTE, a computational method for quantifying genome-wide TE expression in RNA sequencing data, is developed and it is shown that treatment of glioblastoma cells with a demethylation agent results in both increased TE expression and de novo presentation of TE-derived peptides on MHC class I molecules.