Suchergebnisse

Tras la crisis y desaparición de los regímenes comunistas de Europa del Este, fueron muchos los que pronosticaron que el régimen comunista chino estaba abocado irreversiblemente a una profunda crisis, de la que había sido un primer acto la crisis de Tiananmen. No obstante, la evolución posterior de China se ha caracterizado por su estabilidad, y el régimen político aparecía sólidamente asentado sobre el pacto pos-Tiananmen entre lo que se ha dado en llamar grupos reformistas y conservadores en el poder. ; After the crisis and disappearance of the communist regimes of Eastern Europe, many predicted that the Chinese communist regime was irreversibly engaged in a deep crisis, of which the Tiananmen crisis had been a first act. However, the subsequent evolution of China has been characterized by its stability, and the political regime appeared solidly based on the post-Tiananmen pact between what has been called reformist and conservative groups in power. ; peerReviewed

The identification of orthologs—genes in different species which descended from the same gene in their last common ancestor—is a prerequisite for many analyses in comparative genomics and molecular evolution. Numerous algorithms and resources have been conceived to address this problem, but benchmarking and interpreting them is fraught with difficulties (need to compare them on a common input dataset, absence of ground truth, computational cost of calling orthologs). To address this, the Quest for Orthologs consortium maintains a reference set of proteomes and provides a web server for continuous orthology benchmarking (http://orthology.benchmarkservice.org). Furthermore, consensus ortholog calls derived from public benchmark submissions are provided on the Alliance of Genome Resources website, the joint portal of NIH-funded model organism databases. ; Service and Infrastructure grant from the Swiss Institute of Bioinformatics [to C.D.]; NSF [1917302 to P.D.T.]; NIH NHGRI [HG002273, HG010859 to P.D.T.]; INB [PT17/0009/0001 - ISCIII-SGEFI/ERDF to J.G.V., V.S., J.M.F., L.C., J.L.G. and S.C.G.]; H2020 ELIXIR-EXCELERATE [676559 to J.G.V., V.S., J.M.F., L.C., J.L.G. and S.C.G]; ELIXIR, the research infrastructure for life-science data [to J.G.V., V.S., J.M.F., L.C., J.L.G. and S.C.G]; Ministerio de Ciencia, Innovación y Universidades [PGC2018-098073-A-I00 MCIU/AEI/FEDER, UE to J.H.C.]; European Union's Horizon 2020 Research and Innovation Programme [686070 to J.H.C. and D.S, and 637765 to D.M.E. and S.K.]; Consejería de Educación, Juventud y Deporte de la Comunidad de Madrid and Fondo Social Europeo [PEJ-2017-AI/TIC-7514 to A.H.P.]; IdEX Unistra in the framework of the Investments for the future program of the French government [to O.L.]; National Institutes of Health (NIH) [U24HG007822 to M.J.M.]; European Molecular Biology Laboratory (EMBL) [core funds to M.J.M and M.M.]; Wellcome Trust [WT108749/Z/15/Z to M.M.]; S.K. is a royal Society University Research Fellow; Swiss National Science Foundation [183723 to C.D.]. Funding for open access charge: Swiss National Science Foundation. ; Peer Reviewed ; Postprint (published version)