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John Lopez

Researcher at National Institutes of Health

Publications -  9
Citations -  15425

John Lopez is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Genome & Gene. The author has an hindex of 7, co-authored 9 publications receiving 12392 citations. Previous affiliations of John Lopez include Baylor College of Medicine.

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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.
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Genome Sequence of the Pea Aphid Acyrthosiphon pisum

Stephen Richards, +223 more
- 01 Jan 2010 - 
TL;DR: The genome of the pea aphid shows remarkable levels of gene duplication and equally remarkable gene absences that shed light on aspects of aphid biology, most especially its symbiosis with Buchnera.
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The Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution

Christine G. Elsik, +328 more
- 24 Apr 2009 - 
TL;DR: To understand the biology and evolution of ruminants, the cattle genome was sequenced to about sevenfold coverage and provides a resource for understanding mammalian evolution and accelerating livestock genetic improvement for milk and meat production.
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The common marmoset genome provides insight into primate biology and evolution

Kim C. Worley, +120 more
- 01 Jan 2014 - 
TL;DR: The whole-genome sequence of the common marmoset enables increased power for comparative analyses among available primate genomes and facilitates biomedical research application.
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Public data archives for genomic structural variation

TL;DR: Two official companion databases are described, dbVar and DGVa, serving this community role, and the main role of DGV going forward will be to curate and visualize selected studies to facilitate interpretation of structural variation data, including implementing the highest-level quality standards required by the clinical and diagnostic communities.