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Meiru Zhao

Researcher at Beijing Institute of Genomics

Publications -  11
Citations -  17714

Meiru Zhao is an academic researcher from Beijing Institute of Genomics. The author has contributed to research in topics: Medicine & Exome sequencing. The author has an hindex of 6, co-authored 8 publications receiving 12402 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.

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

Open-Source Genomic Analysis of Shiga-Toxin–Producing E. coli O104:H4

TL;DR: A cluster of cases associated with a single family is reported and an open-source genomic analysis of an isolate from one member of the family is described, revealing that the outbreak strain belonged to an enteroaggregative E. coli lineage that had acquired genes for Shiga toxin 2 and for antibiotic resistance.
Journal ArticleDOI

A short-read multiplex sequencing method for reliable, cost-effective and high-throughput genotyping in large-scale studies.

TL;DR: RCHSBT—reliable, cost‐effective and high‐throughput sequence based typing pipeline—which takes short sequence reads as input, but uses a unique variant calling, haploid sequence assembling algorithm, can accurately genotype with greater effective length per amplicon than even Sanger sequencing reads.