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Lucas Lochovsky

Researcher at Yale University

Publications -  35
Citations -  11691

Lucas Lochovsky is an academic researcher from Yale University. The author has contributed to research in topics: Genome & Biology. The author has an hindex of 15, co-authored 27 publications receiving 9653 citations. Previous affiliations of Lucas Lochovsky include National Institutes of Health & The Chinese University of Hong Kong.

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An integrated encyclopedia of DNA elements in the human genome

Ian Dunham, +442 more
TL;DR: The Encyclopedia of DNA Elements project provides new insights into the organization and regulation of the authors' genes and genome, and is an expansive resource of functional annotations for biomedical research.
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The Molecular Taxonomy of Primary Prostate Cancer

Adam Abeshouse, +311 more
- 05 Nov 2015 - 
TL;DR: The Cancer Genome Atlas (TCGA) has been used for a comprehensive molecular analysis of primary prostate carcinomas as discussed by the authors, revealing substantial heterogeneity among primary prostate cancers, evident in the spectrum of molecular abnormalities and its variable clinical course.

The Molecular Taxonomy of Primary Prostate Cancer

Adam Abeshouse, +309 more
TL;DR: A comprehensive molecular analysis of 333 primary prostate carcinomas revealed a molecular taxonomy in which 74% of these tumors fell into one of seven subtypes defined by specific gene fusions (ERG, ETV1/4, and FLI1) or mutations (SPOP, FOXA1, and IDH1).
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Pan-cancer analysis of whole genomes

Peter J. Campbell, +1332 more
- 06 Feb 2020 - 
TL;DR: The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.
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A User's Guide to the Encyclopedia of DNA Elements (ENCODE)

Richard M. Myers, +328 more
- 01 Apr 2011 - 
TL;DR: An overview of the project and the resources it is generating and the application of ENCODE data to interpret the human genome are provided.