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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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Genomes with distinct function composition.

TL;DR: The functional composition of organisms can be analysed for the first time with the appearance of complete or sizeable parts of various genomes, indicating trends that led to the emergence of the eukaryotic cell and later the transition from unicellular to multicellular organisms.
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Search for type-III seesaw heavy leptons in dilepton final states in pp collisions at √s=13TeV with the ATLAS detector

Georges Aad, +3003 more
TL;DR: In this paper, a search for the pair production of heavy leptons as predicted by the type-III seesaw mechanism is presented, using proton-proton collision data at a centre-of-mass energy of 13TeV, corresponding to 139fb-1 of integrated luminosity recorded by the ATLAS detector during Run 2 of the Large Hadron Collider.
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Collection, integration and analysis of cancer genomic profiles: from data to insight

TL;DR: This work maps the recurrent genomic alterations, such as somatic mutations and focal DNA copy-number alterations, onto individual tumor samples as tumor-specific event calls to facilitate the identification of altered processes and pathways.
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Search for dijet resonances in events with an isolated charged lepton using √s = 13 TeV proton-proton collision data collected by the ATLAS detector

Georges Aad, +2972 more
TL;DR: In this article, a search for dijet resonances in events with at least one isolated charged lepton was performed using 139 fb(-1) of root s = 13 TeV proton-proton collision data recorded by the ATLAS detector at the LHC.
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Characterization of new proteins found by analysis of short open reading frames from the full yeast genome.

TL;DR: It is concluded that the analysis of short open reading frames of the yeast genome leads to biologically interesting discoveries, even though the quantitative yield of new proteins is relatively low.