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Steve Hoffmann

Researcher at National Institutes of Health

Publications -  103
Citations -  8956

Steve Hoffmann is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Biology & Gene. The author has an hindex of 35, co-authored 85 publications receiving 6964 citations. Previous affiliations of Steve Hoffmann include University of Marburg & Max Planck Society.

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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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The primary transcriptome of the major human pathogen Helicobacter pylori

TL;DR: A novel differential approach selective for the 5′ end of primary transcripts is presented, establishing a paradigm for mapping and annotating the primary transcriptomes of many living species and discovering hundreds of transcriptional start sites within operons, and opposite to annotated genes.
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The landscape of genomic alterations across childhood cancers

Susanne Gröbner, +185 more
- 15 Mar 2018 - 
TL;DR: The data suggest that 7–8% of the children in this cohort carry an unambiguous predisposing germline variant and that nearly 50% of paediatric neoplasms harbour a potentially druggable event, which is highly relevant for the design of future clinical trials.
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The African coelacanth genome provides insights into tetrapod evolution

Chris T. Amemiya, +94 more
- 18 Apr 2013 - 
TL;DR: Through a phylogenomic analysis, it is concluded that the lungfish, and not the coelacanth, is the closest living relative of tetrapods.
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Fast Mapping of Short Sequences with Mismatches, Insertions and Deletions Using Index Structures

TL;DR: A matching model for short reads that can handle the problem of leading and trailing contaminations caused by primers and poly-A tails in transcriptomics or the length-dependent increase of error rates is introduced and shows significantly increased performance.