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Daniel J. Turner

Researcher at Wellcome Trust Sanger Institute

Publications -  99
Citations -  18820

Daniel J. Turner is an academic researcher from Wellcome Trust Sanger Institute. The author has contributed to research in topics: Genome & Nanopore sequencing. The author has an hindex of 45, co-authored 98 publications receiving 15803 citations. Previous affiliations of Daniel J. Turner include University of Oxford.

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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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Real-time, portable genome sequencing for Ebola surveillance

Joshua Quick, +106 more
- 11 Feb 2016 - 
TL;DR: This paper presents sequence data and analysis of 142 EBOV samples collected during the period March to October 2015 and shows that real-time genomic surveillance is possible in resource-limited settings and can be established rapidly to monitor outbreaks.
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Target-enrichment strategies for next-generation sequencing

TL;DR: The experiences with the leading target-enrichment technologies, the optimizations that are performed, and typical results that can be obtained using each are described and detailed protocols for each are provided so that end users can find the best compromise between sensitivity, specificity and uniformity for their particular project.
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iCLIP reveals the function of hnRNP particles in splicing at individual nucleotide resolution

TL;DR: Individual-nucleotide resolution UV cross-linking and immunoprecipitation (iCLIP) data show that hnRNP C recognizes uridine tracts with a defined long-range spacing consistent with hmRNP particle organization, and integration of transcriptome-wide iCLIP data and alternative splicing profiles into an 'RNA map' indicates how the positioning of hn RNP particles determines their effect on the inclusion of alternative exons.