BUSCADOR RECOLECTA

Per celebrar l'11 de febrer, el Dia Internacional de la Dona i la Nena en la Ciència, la Biblioteca organitza conjuntament amb l'Escola d'Enginyeria i les Facultats de Biociències i de Ciències aquesta exposició, entre el 9 de febrer i el 8 de març de 2024. Una exposició que es pot veure tant a la Biblioteca com a l'Escola d'Enginyeria. A través d'imatges generades per una intel·ligència artificial es pot veure el desequilibri actual quant a la mitjana de professorat investigador permanent existent als tres centres: 68% personal masculí, 32% femení. I, per altra banda, es vol fer reflexionar al visitant sobre com seran les científiques i les enginyeres que ompliran els nostres edificis en un futur.

L'Escola d'Enginyeria celebra 25 anys d'història. I des del 6 de febrer fins al 2 de març es pot visitar a la Biblioteca aquesta exposició, coincidint amb la celebració del 'Dia Internacional de la Dona i la Nena en la Ciència', on es destaca una petita part d'alguns dels invents i innovacions de 5 dones enginyeres formades a l'Escola, a la vitrina horitzontal. I a l'aparador vertical, encabides en la xifra 25, hi apareixen 95 dones que volen representar a cadascuna de les científiques i enginyeres que han aportat el seu granet de sorra per a convertir l'Escola en el que és actualment. L'exposició ha comptat amb la col·laboració de la professora Aura Hernández Sabaté, Sotsdirectora de Gènere i Relacions amb Secundària de l'Escola d'Enginyeria, i del professor Francesc Auli Llinas, també de l'Escola.

Data collected in the framework of the ERC project “Artsoundscapes, the sound of special places: exploring rock art soundscapes and the sacred” (acronym: Artsoundscapes, Grant Agreement No. 787842, PI ICREA Research Professor Margarita Díaz-Andreu). The project focuses on the relationship between archaeoacoustics and rock art. The dataset includes audio files that are the omnidirectional impulse responses gathered in a selection of rock art sites in the Karakol valley (Russian Altai), more specifically, Kara-Too, Torgun, Bichiktu-Bom and Talda. The tables include the acoustic parameter values derived from those impulse responses. Fieldwork was conducted in August 2019, by Margarita Díaz-Andreu, Adriano Farina, Tommaso Mattioli, Laura Coltofean, Elio Smith, Elena Miklashovich and Andrzej Rozwadowski.

Data collected within the framework of the ERC project "The sound of special places: exploring rock art soundscapes and the sacred" (acronym: Artsoundscapes, PI ICREA Research Professor Margarita Díaz-Andreu). The project focuses on the relationship between archaeoacoustics and rock art. The audio files are the impulse responses (IR) gathered in the Lower Chuya Valley area, in particular at the rock art sites of Kalbak-Tash I, Kalbak-Tash II and Adyr-Kan, Altai (Siberia). The tables include the acoustic data derived from those impulse responses.

The cancer bioMarkers database is curated and maintained by several clinical and scientific experts in the field of precision oncology supported by the European Union’s Horizon 2020 funding. This database is currently being integrated with knowledge databases of other institutions in a collaborative effort of the Global Alliance for Genomics and Health.

A tool aimed at the rational design of cancer gene panels. It estimates the cost-effectiveness of the designed panel on a cohort of tumors and provides reports on the importance of individual mutations for tumorigenesis or therapy.

Analyses somatic mutations in thousands of tumor genomes to identify cancer driver genes.

Gitools is a framework for analysis and visualization of multidimensional genomic data using interactive heat-maps.

Method to identify genomic regions, both coding and non-coding, bearing mutations with significant shift towards high functional impact across a cohort of tumos (FMbias), which are candidates to function as cancer drivers, through a local test.

OncodriveCLUST is a method aimed to identify genes whose mutations are biased towards a large spatial clustering. This method is designed to exploit the feature that mutations in cancer genes, especially oncogenes, often cluster in particular positions of the protein. We consider this as a sign that mutations in these regions change the function of these proteins in a manner that provides an adaptive advantage to cancer cells and consequently are positively selected during clonal evolution of tumours, and this property can thus be used to nominate novel candidate driver genes./nThe method does not assume that the baseline mutation probability is homogeneous across all gene positions but it creates a background model using silent mutations. Coding silent mutations are supposed to be under no positive selection and may reflect the baseline clustering of somatic mutations. Given recent evidences of non-random mutation processes along the genome, the assumption of homogenous mutation probabilities is likely an oversimplication introducing bias in the detection of meaningful events.