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Chris Sander

Researcher at Harvard University

Publications -  730
Citations -  273726

Chris Sander is an academic researcher from Harvard University. The author has contributed to research in topics: Large Hadron Collider & Protein structure. The author has an hindex of 178, co-authored 713 publications receiving 233287 citations. Previous affiliations of Chris Sander include Purdue University & University of Leeds.

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Database of homology-derived protein structures and the structural meaning of sequence alignment.

Chris Sander, +1 more
- 01 Jan 1991 - 
TL;DR: A database of homology‐derived secondary structure of proteins (HSSP) is produced by aligning to each protein of known structure all sequences deemed homologous on the basis of the threshold curve, effectively increasing the number of known protein structures by a factor of five to more than 1800.
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Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma

Adrian Ally, +235 more
- 15 Jun 2017 - 
TL;DR: Integrative molecular HCC subtyping incorporating unsupervised clustering of five data platforms identified three subtypes, one of which was associated with poorer prognosis in three HCC cohorts and development of a p53 target gene expression signature correlating with poor survival was enabled.
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Identification of Virus-Encoded MicroRNAs

TL;DR: The small RNA profile of cells infected by Epstein-Barr virus is recorded and it is shown that EBV expresses several microRNA (miRNA) genes, which are identified viral regulators of host and/or viral gene expression.
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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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Mapping the Protein Universe

TL;DR: An exhaustive all-on-all shape comparison provides a map of physical attractor regions in the abstract shape space of proteins, with implications for the processes of protein folding and evolution.