Anàlisi d'algorismes en el traçat de rutes de senderisme a partir de dades GPS

[CATALÀ] Analitzem dos dels algorismes més recents (2012) de la genereció de mapes de ciutat aplicats en quatre zones diferents de senderisme de Catalunya. A partir dels mapes generats hem analitzat el comportament dels dos algorismes i quins factors influeixen en la qualitat del seu resultat.[ANGLÈS] This project analyses two of the most recent map construction algorithms (2012) designed to work on cities, applied to four different hiking zones in Catalonia. The obtained results are used to study the behaviour of both algorithms and to determine which factors influence their quality

Visualization of large molecular trajectories

The analysis of protein-ligand interactions is a time-intensive task. Researchers have to analyze multiple physico-chemical properties of the protein at once and combine them to derive conclusions about the protein-ligand interplay. Typically, several charts are inspected, and 3D animations can be played side-by-side to obtain a deeper understanding of the data. With the advances in simulation techniques, larger and larger datasets are available, with up to hundreds of thousands of steps. Unfortunately, such large trajectories are very difficult to investigate with traditional approaches. Therefore, the need for special tools that facilitate inspection of these large trajectories becomes substantial. In this paper, we present a novel system for visual exploration of very large trajectories in an interactive and user-friendly way. Several visualization motifs are automatically derived from the data to give the user the information about interactions between protein and ligand. Our system offers specialized widgets to ease and accelerate data inspection and navigation to interesting parts of the simulation. The system is suitable also for simulations where multiple ligands are involved. We have tested the usefulness of our tool on a set of datasets obtained from protein engineers, and we describe the expert feedback.Peer ReviewedPostprint (author's final draft

Anàlisi d'algorismes en el traçat de rutes de senderisme a partir de dades GPS

[CATALÀ] Analitzem dos dels algorismes més recents (2012) de la genereció de mapes de ciutat aplicats en quatre zones diferents de senderisme de Catalunya. A partir dels mapes generats hem analitzat el comportament dels dos algorismes i quins factors influeixen en la qualitat del seu resultat.[ANGLÈS] This project analyses two of the most recent map construction algorithms (2012) designed to work on cities, applied to four different hiking zones in Catalonia. The obtained results are used to study the behaviour of both algorithms and to determine which factors influence their quality

Visualization of large molecular trajectories

The analysis of protein-ligand interactions is a time-intensive task. Researchers have to analyze multiple physico-chemical properties of the protein at once and combine them to derive conclusions about the protein-ligand interplay. Typically, several charts are inspected, and 3D animations can be played side-by-side to obtain a deeper understanding of the data. With the advances in simulation techniques, larger and larger datasets are available, with up to hundreds of thousands of steps. Unfortunately, such large trajectories are very difficult to investigate with traditional approaches. Therefore, the need for special tools that facilitate inspection of these large trajectories becomes substantial. In this paper, we present a novel system for visual exploration of very large trajectories in an interactive and user-friendly way. Several visualization motifs are automatically derived from the data to give the user the information about interactions between protein and ligand. Our system offers specialized widgets to ease and accelerate data inspection and navigation to interesting parts of the simulation. The system is suitable also for simulations where multiple ligands are involved. We have tested the usefulness of our tool on a set of datasets obtained from protein engineers, and we describe the expert feedback.Peer Reviewe