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Institution

Pompeu Fabra University

EducationBarcelona, Spain
About: Pompeu Fabra University is a education organization based out in Barcelona, Spain. It is known for research contribution in the topics: Population & Context (language use). The organization has 8093 authors who have published 23570 publications receiving 858431 citations. The organization is also known as: Universitat Pompeu Fabra & UPF.


Papers
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Journal ArticleDOI
21 Sep 2017-Cell
TL;DR: Polycomb (PcG) and Trithorax (TrxG) group proteins are evolutionarily conserved chromatin-modifying factors originally identified as part of an epigenetic cellular memory system that maintains repressed or active gene expression states.

761 citations

Journal ArticleDOI
TL;DR: The current knowledge of the PRC complexes is discussed, how they are targeted to chromatin and how the high diversity of the PcG proteins allows these complexes to influence cell identity.
Abstract: Polycomb group (PcG) proteins function within Polycomb repressive complexes (PRCs), which modify histones and other proteins and silence target genes. This Review highlights new insights into the role of PcG proteins in gene regulation, specifically in controlling self-renewal and differentiation of embryonic stem cells, and into how PRCs are targeted to chromatin.

754 citations

Journal ArticleDOI
TL;DR: An effective approach to integrating the output of some of these tools into a unified classification is proposed based on a weighted average of the normalized scores of the individual methods (WAS), which shows that this WAS outperforms each individual method in the task of classifying missense SNVs as deleterious or neutral.
Abstract: Several large ongoing initiatives that profit from next-generation sequencing technologies have driven--and in coming years will continue to drive--the emergence of long catalogs of missense single-nucleotide variants (SNVs) in the human genome. As a consequence, researchers have developed various methods and their related computational tools to classify these missense SNVs as probably deleterious or probably neutral polymorphisms. The outputs produced by each of these computational tools are of different natures and thus difficult to compare and integrate. Taking advantage of the possible complementarity between different tools might allow more accurate classifications. Here we propose an effective approach to integrating the output of some of these tools into a unified classification; this approach is based on a weighted average of the normalized scores of the individual methods (WAS). (In this paper, the approach is illustrated for the integration of five tools.) We show that this WAS outperforms each individual method in the task of classifying missense SNVs as deleterious or neutral. Furthermore, we demonstrate that this WAS can be used not only for classification purposes (deleterious versus neutral mutation) but also as an indicator of the impact of the mutation on the functionality of the mutant protein. In other words, it may be used as a deleteriousness score of missense SNVs. Therefore, we recommend the use of this WAS as a consensus deleteriousness score of missense mutations (Condel).

753 citations

Journal ArticleDOI
TL;DR: It is confirmed that eukaryotes form at least two domains, the loss of monophyly in the Excavata, robust support for the Haptista and Cryptista, and suggested primer sets for DNA sequences from environmental samples that are effective for each clade are provided.
Abstract: This revision of the classification of eukaryotes follows that of Adl et al., 2012 [J. Euk. Microbiol. 59(5)] and retains an emphasis on protists. Changes since have improved the resolution of many ...

750 citations

Posted Content
TL;DR: In this article, the authors provide a model of competition among credit ratings Agencies (CRAs) in which there are three possible sources of conflicts: 1) the CRA conflict of interest of understating credit risk to attract more business; 2) the ability of issuers to purchase only the most favorable ratings; and 3) the trusting nature of some investor clienteles who may take ratings at face value.
Abstract: The collapse of so many AAA-rated structured finance products in 2007-2008 has brought renewed attention to the causes of ratings failures and the conflicts of interest in the Credit Ratings Industry. We provide a model of competition among Credit Ratings Agencies (CRAs) in which there are three possible sources of conflicts: 1) the CRA conflict of interest of understating credit risk to attract more business; 2) the ability of issuers to purchase only the most favorable ratings; and 3) the trusting nature of some investor clienteles who may take ratings at face value. We show that when combined, these give rise to three fundamental equilibrium distortions. First, competition among CRAs can reduce market efficiency, as competition facilitates ratings shopping by issuers. Second, CRAs are more prone to inflate ratings in boom times, when there are more trusting investors, and when the risks of failure which could damage CRA reputation are lower. Third, the industry practice of tranching of structured products distorts market efficiency as its role is to deceive trusting investors. We argue that regulatory intervention requiring: i) upfront payments for rating services (before CRAs propose a rating to the issuer), ii) mandatory disclosure of any rating produced by CRAs, and iii) oversight of ratings methodology can substantially mitigate ratings inflation and promote efficiency.

749 citations


Authors

Showing all 8248 results

NameH-indexPapersCitations
Andrei Shleifer171514271880
Paul Elliott153773103839
Bert Brunekreef12480681938
Philippe Aghion12250773438
Anjana Rao11833761395
Jordi Sunyer11579857211
Kenneth J. Arrow113411111221
Xavier Estivill11067359568
Roderic Guigó108304106914
Mark J. Nieuwenhuijsen10764749080
Jordi Alonso10752364058
Alfonso Valencia10654255192
Luis Serrano10545242515
Vadim N. Gladyshev10249034148
Josep M. Antó10049338663
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202349
2022248
20211,903
20201,930
20191,763
20181,660