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Steven Newhouse

Researcher at European Bioinformatics Institute

Publications -  19
Citations -  1819

Steven Newhouse is an academic researcher from European Bioinformatics Institute. The author has contributed to research in topics: Biology & Genome. The author has an hindex of 6, co-authored 10 publications receiving 993 citations.

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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.
Journal ArticleDOI

Leveraging European infrastructures to access 1 million human genomes by 2022

TL;DR: This Roadmap identifies the challenges of data sharing across borders and demonstrates that European research infrastructures are well-positioned to support the rapid implementation of widespread genomic data access.
Journal IssueDOI

Interoperation of world-wide production e-Science infrastructures

TL;DR: The Grid Interoperation Now—Community Group of the Open Grid Forum—organizes and manages interoperation efforts among those production Grid infrastructures to reach the goal of a world-wide Grid vision on a technical level in the near future.
Posted ContentDOI

Germline determinants of the somatic mutation landscape in 2,642 cancer genomes

Sebastian M. Waszak, +91 more
- 01 Nov 2017 - 
TL;DR: This study highlights the major impact of rare and common germline variants on mutational landscapes in cancer and inferred over a hundred polymorphic L1/LINE elements with somatic retrotransposition activity in cancer.
Posted ContentDOI

Large-Scale Uniform Analysis of Cancer Whole Genomes in Multiple Computing Environments

Christina K. Yung, +123 more
- 10 Jul 2017 - 
TL;DR: The International Cancer Genome Consortium’s Pan-Cancer Analysis of Whole Genomes (PCAWG) project aimed to categorize somatic and germline variations in both coding and non-coding regions in over 2,800 cancer patients to provide high-quality validated consensus variants for downstream analysis.