Suchergebnisse

Este artículo aporta un análisis de género en la educación universitaria en Trabajo Social. En primer lugar, se muestran los antecedentes históricos de la titulación y se esclarecen algunos aspectos relativos a la desigualdad de género en el Trabajo Social. En segundo lugar, mediante un estudio descriptivo se compara, atendiendo a la variable sexo, a las personas egresadas de la Facultad de Trabajo Social de la Universidad Complutense de Madrid, con las demás universidades públicas de España. Se considera un intervalo de 30 años de su historia como educación superior, de 1985 a 2015, cuando se pone de manifiesto la persistencia de diferencias de género en el alumnado egresado. En tercer lugar, en relación con la dimensión laboral, se han analizado los puestos de docentes e investigadores en la misma Facultad, realizando una comparación por sexo con la totalidad del profesorado de la Universidad Complutense. En el resultado se expone que la responsabilidad de la docencia está representada por varones y mujeres de manera no equitativa. Finalmente se presentan unas breves conclusiones.

Motivation: Epistasis, the context-dependence of the contribution of an amino acid substitution to fitness, is common in evolution. To detect epistasis, fitness must be measured for at least four genotypes: the reference genotype, two different single mutants and a double mutant with both of the single mutations. For higher-order epistasis of the order n, fitness has to be measured for all 2n genotypes of an n-dimensional hypercube in genotype space forming a "combinatorially complete dataset". So far, only a handful of such datasets have been produced by manual curation. Concurrently, random mutagenesis experiments have produced measurements of fitness and other phenotypes in a high-throughput manner, potentially containing a number of combinatorially complete datasets. Results: We present an effective recursive algorithm for finding all hypercube structures in random mutagenesis experimental data. To test the algorithm, we applied it to the data from a recent HIS3 protein dataset and found all 199,847,053 unique combinatorially complete genotype combinations of dimensionality ranging from two to twelve. The algorithm may be useful for researchers looking for higher-order epistasis in their high-throughput experimental data. Availability: https://github.com/ivankovlab/HypercubeME.git. Supplementary information: Supplementary data are available at Bioinformatics online. ; This work was supported by the European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013, ERC grant agreement 335980_EinME) and Startup package to the Ivankov laboratory at Skolkovo Institute of Science and Technology. The work was started at the School of Molecular and Theoretical Biology 2017 supported by the Zimin Foundation. N.S.B. was supported by the Woman Scientists Support Grant in Centre for Genomic Regulation (CRG).