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Joseph J. Vitti

Researcher at Harvard University

Publications -  11
Citations -  16828

Joseph J. Vitti is an academic researcher from Harvard University. The author has contributed to research in topics: Genome-wide association study & Mutation (genetic algorithm). The author has an hindex of 7, co-authored 10 publications receiving 11545 citations. Previous affiliations of Joseph J. Vitti include Broad Institute.

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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.
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Detecting natural selection in genomic data.

TL;DR: A comprehensive outline of evolutionary genomics methods is provided, highlighting the importance of functional follow-up studies to characterize putative selected alleles and the use of selection scans as hypothesis-generating tools for investigating evolutionary histories.
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Clinical Sequencing Uncovers Origins and Evolution of Lassa Virus

Kristian G. Andersen, +83 more
- 13 Aug 2015 - 
TL;DR: In this paper, a genomic catalog of almost 200 Lassa virus (LASV) sequences from clinical and rodent reservoir samples was generated, showing that whereas the 2013-2015 West African epidemic of Ebola virus disease (EVD) was fueled by human-to-human transmissions, LASV infections mainly result from reservoir-tohuman infections.
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Identifying the favored mutation in a positive selective sweep

TL;DR: iSAFE (for “integrated selection of allele favored by evolution”), a method that enables researchers to accurately pinpoint the favored mutation in a large region by using a statistic derived solely from population genetics signals.