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Eugene Kulesha

Researcher at Laboratory of Molecular Biology

Publications -  10
Citations -  17823

Eugene Kulesha is an academic researcher from Laboratory of Molecular Biology. The author has contributed to research in topics: Genomics & Genome project. The author has an hindex of 9, co-authored 10 publications receiving 12202 citations. Previous affiliations of Eugene Kulesha include Wellcome Trust.

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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.

A map of human genome variation from population-scale sequencing

Richard Durbin, +361 more
TL;DR: The pilot phase of the 1000 Genomes Project is presented, designed to develop and compare different strategies for genome-wide sequencing with high-throughput platforms, and the location, allele frequency and local haplotype structure of approximately 15 million single nucleotide polymorphisms, 1 million short insertions and deletions, and 20,000 structural variants are described.
Journal ArticleDOI

An integrated resource for genome-wide identification and analysis of human tissue-specific differentially methylated regions (tDMRs)

TL;DR: The utility and implications of the findings with respect to the regulatory potential of regions with varied CpG density, gene expression, transcription factor motifs, gene ontology, and correlation with other epigenetic marks such as histone modifications are discussed.
Journal ArticleDOI

SCOP2 prototype: a new approach to protein structure mining.

TL;DR: The SCOP2 classification is described in terms of a directed acyclic graph in which nodes form a complex network of many-to-many relationships and are represented by a region of protein structure and sequence.