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Thomas M. Keane

Researcher at European Bioinformatics Institute

Publications -  107
Citations -  30639

Thomas M. Keane is an academic researcher from European Bioinformatics Institute. The author has contributed to research in topics: Genome & Genomics. The author has an hindex of 48, co-authored 104 publications receiving 21566 citations. Previous affiliations of Thomas M. Keane include Wellcome Trust Sanger Institute & Maynooth 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

Twelve years of SAMtools and BCFtools.

TL;DR: The SAMtools and BCFtools packages represent a unique collection of tools that have been used in numerous other software projects and countless genomic pipelines and are freely available on GitHub under the permissive MIT licence, free for both noncommercial and commercial use.
Journal ArticleDOI

Mapping copy number variation by population-scale genome sequencing

Ryan E. Mills, +374 more
- 03 Feb 2011 - 
TL;DR: A map of unbalanced SVs is constructed based on whole genome DNA sequencing data from 185 human genomes, integrating evidence from complementary SV discovery approaches with extensive experimental validations, and serves as a resource for sequencing-based association studies.