75 research outputs found
The Frenchness of Marcel Lefebvre and the Society of St Pius X:a new reading
The case of Marcel Lefebvre and the Society of St Pius X (SSPX) deserves fresh perspectives. The current historiography is too franco-centric, focused on selective aspects of Lefebvre’s biography and the actions of isolated individuals, rather than with the life of the SSPX itself. After evaluating the current state of the historiography, this article proposes a new analysis of the SSPX’s political discourses in France and internationally and undertakes to reframe the relationship between Lefebvre’s life and his congregation by re-examining his African missionary experiences. Such new perspectives will be helpful as the SSPX moves towards regularisation under the pontificate of Pope Francis
Association between SNPs within candidate genes and compounds related to boar taint and reproduction
Uso de modelos lineares mistos na avaliação genética de escores visuais: estudo de simulação
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The Galaxy platform for accessible, reproducible, and collaborative data analyses: 2024 update
YesGalaxy (https://galaxyproject.org) is deployed globally, predominantly through free-to-use services, supporting user-driven research that broadens in scope each year. Users are attracted to public Galaxy services by platform stability, tool and reference dataset diversity, training, support and integration, which enables complex, reproducible, shareable data analysis. Applying the principles of user experience design (UXD), has driven improvements in accessibility, tool discoverability through Galaxy Labs/subdomains, and a redesigned Galaxy ToolShed. Galaxy tool capabilities are progressing in two strategic directions: integrating general purpose graphical processing units (GPGPU) access for cutting-edge methods, and licensed tool support. Engagement with global research consortia is being increased by developing more workflows in Galaxy and by resourcing the public Galaxy services to run them. The Galaxy Training Network (GTN) portfolio has grown in both size, and accessibility, through learning paths and direct integration with Galaxy tools that feature in training courses. Code development continues in line with the Galaxy Project roadmap, with improvements to job scheduling and the user interface. Environmental impact assessment is also helping engage users and developers, reminding them of their role in sustainability, by displaying estimated CO2 emissions generated by each Galaxy job.NIH [U41 HG006620, U24 HG010263, U24 CA231877, U01 CA253481]; US National Science Foundation [1661497, 1758800, 2216612]; computational resources are provided by the Advanced Cyberinfrastructure Coordination Ecosystem (ACCESS-CI), Texas Advanced Computing Center, and the JetStream2 scientific cloud. Funding for open access charge: NIH. ELIXIR IS and Travel grants; EU Horizon Europe [HORIZON-INFRA-2021-EOSC-01-04, 101057388]; EU Horizon Europe under the Biodiversity, Circular Economy and Environment program (REA.B.3, BGE 101059492); German Federal Ministry of Education and Research, BMBF [031 A538A de.NBI-RBC]; Ministry of Science, Research and the Arts Baden-Württemberg (MWK) within the framework of LIBIS/de.NBI Freiburg. Galaxy Australia is supported by the Australian BioCommons which is funded through Australian Government NCRIS investments from Bioplatforms Australia and the Australian Research Data Commons, as well as investment from the Queensland Government RICF program.Please note, contributors are listed in alphabetical order
Recommended from our members
The Galaxy platform for accessible, reproducible, and collaborative data analyses: 2024 update
YesGalaxy (https://galaxyproject.org) is deployed globally, predominantly through free-to-use services, supporting user-driven research that broadens in scope each year. Users are attracted to public Galaxy services by platform stability, tool and reference dataset diversity, training, support and integration, which enables complex, reproducible, shareable data analysis. Applying the principles of user experience design (UXD), has driven improvements in accessibility, tool discoverability through Galaxy Labs/subdomains, and a redesigned Galaxy ToolShed. Galaxy tool capabilities are progressing in two strategic directions: integrating general purpose graphical processing units (GPGPU) access for cutting-edge methods, and licensed tool support. Engagement with global research consortia is being increased by developing more workflows in Galaxy and by resourcing the public Galaxy services to run them. The Galaxy Training Network (GTN) portfolio has grown in both size, and accessibility, through learning paths and direct integration with Galaxy tools that feature in training courses. Code development continues in line with the Galaxy Project roadmap, with improvements to job scheduling and the user interface. Environmental impact assessment is also helping engage users and developers, reminding them of their role in sustainability, by displaying estimated CO2 emissions generated by each Galaxy job.NIH [U41 HG006620, U24 HG010263, U24 CA231877, U01 CA253481]; US National Science Foundation [1661497, 1758800, 2216612]; computational resources are provided by the Advanced Cyberinfrastructure Coordination Ecosystem (ACCESS-CI), Texas Advanced Computing Center, and the JetStream2 scientific cloud. Funding for open access charge: NIH. ELIXIR IS and Travel grants; EU Horizon Europe [HORIZON-INFRA-2021-EOSC-01-04, 101057388]; EU Horizon Europe under the Biodiversity, Circular Economy and Environment program (REA.B.3, BGE 101059492); German Federal Ministry of Education and Research, BMBF [031 A538A de.NBI-RBC]; Ministry of Science, Research and the Arts Baden-Württemberg (MWK) within the framework of LIBIS/de.NBI Freiburg. Galaxy Australia is supported by the Australian BioCommons which is funded through Australian Government NCRIS investments from Bioplatforms Australia and the Australian Research Data Commons, as well as investment from the Queensland Government RICF program
Influence de la recombinaison sur la variabilité génétique. II. Étude par simulations
Pour compléter une étude expérimentale portant sur l'intérêt, pour l'amélioration des plantes, d'un gène élévateur des fréquences de recombinaison, deux études par simulation ont été réalisées. Dans la première étude, des descendances de 10 individus ont été dérivées par une génération d'autofécondation ou par un plan circulaire de croisement, à partir de quatre populations, dans des cas de fréquences moyennes de recombinaison élevées, intermédiaires et faibles. Les distributions des variances génétiques des descendances issues d'une même population ont été comparées. Dans les deux types de descendances, les distributions des variances génétiques se recouvrent largement, que la population présente un excès d'associations en couplage ou en répulsion. Il risque donc d'être difficile de mettre expérimentalement en évidence l'effet de différences de fréquences de recombinaison sur la variabilité génétique de caractères quantitatifs. Dans la seconde étude, un programme de sélection récurrente a été simulé pour des fréquences moyennes de recombinaison élevées, intermédiaires, et faibles. Pour la fréquence de recombinaison la plus faible, le progrès génétique est plus lent, légèrement moins important, et la variance génétique plus élevée. Par contre, de même que pour la simulation précédente, les fréquences de recombinaison élevées et intermédiaires donnent des résultats similaires du point de vue du progrès génétique et de la variance génétique. Un gène élevant les taux de recombinaison n'est donc intéressant que si le linkage est très étroit ou les croisements difficiles. Sinon, un plan d'intercroisement assure une gestion efficace de la variabilité.Influence of recombination on genetic variability: II. Simulation studies. Two stimulation studies were carried out to complement an experimental study of the possible interest for plant breeders of an allele increasing recombination rates. In the first simulation study, 4 populations of 10 individuals were simulated in the case of high (45%), medium (19.6%) and low (6.9%) recombination frequencies. Ten-plant populations were derived by one generation, either from selfing or from crossing in a circular mating design, from each of the 4 populations. For each initial population, the distribution of the genetic variances in the populations obtained by one mating system overlapped widely in the 3 cases of recombination rates considered, whether the initial population presented an excess of coupling phase, or an excess of repulsion phase. An experimental assessment of the effect of recombination rate differences on genetic variability of quantitative traits is therefore likely to be difficult. The second study simulated a recurrent selection program in the case of high (45%), medium (19.6%) and low (9%) recombination rates. The mean genetic value increased somewhat more slowly and reached a slightly lower value for low recombination rates, whereas the genetic variance remained the highest after the second selection cycle. The evolutions in genetic mean values and genetic variances were almost identical for medium and high recombination frequencies. Thus, an allele which increases recombination rates will only be of interest in the case of close linkage or difficult crossing. Otherwise, a circular mating design manages efficiently the initial germplasm
Recherche chez divers Phaseolus L. de caractères de résistance au Fusarium solani (Mart.) Snyd. et Hans. f.sp. phaseoli (Burk) Snyd. et Hans. : Créations d'hybrides et étude du comportement de leur descendance
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