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Alberto Santos

Researcher at University of Copenhagen

Publications -  37
Citations -  17333

Alberto Santos is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Proteomics & Proteome. The author has an hindex of 19, co-authored 34 publications receiving 13449 citations. Previous affiliations of Alberto Santos include National Autonomous University of Mexico & Novo Nordisk Foundation.

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STRING v10: protein–protein interaction networks, integrated over the tree of life

TL;DR: H hierarchical and self-consistent orthology annotations are introduced for all interacting proteins, grouping the proteins into families at various levels of phylogenetic resolution in the STRING database.
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The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible.

TL;DR: In the latest version 10.5 of STRING, the biggest changes are concerned with data dissemination: the web frontend has been completely redesigned to reduce dependency on outdated browser technologies, and the database can now also be queried from inside the popular Cytoscape software framework.
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STITCH 5: augmenting protein–chemical interaction networks with tissue and affinity data

TL;DR: In the new, fifth release of STITCH, functionality to filter out the proteins and chemicals not associated with a given tissue is implemented and a new network view is implemented that gives the user the ability to view binding affinities of chemicals in the interaction network.
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IntOGen-mutations identifies cancer drivers across tumor types

TL;DR: The IntOGen-mutations platform provides support to cancer researchers, aids the identification of drivers across tumor cohorts and helps rank mutations for better clinical decision-making.
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Estimating air surface temperature in Portugal using MODIS LST data

TL;DR: In this article, the authors used a statistical approach to estimate Tmax, Tmin and Tavg for a 10-year period based on LST data obtained from MODIS and auxiliary data using a statistical optimization procedure with a mixed bootstrap and jackknife resampling.