Diseño y desarrollo centrado en el usuario de un sitio web de fotografía de autor con un sistema de gestión de contenidos

El proyecto supone la puesta a punto de un sitio web cuya finalidad es mostrar y divulgar la obra de un fotógrafo. Este sitio consta de dos partes, la parte pública, visible por cualquier usuario, y una parte privada, accesible únicamente por un administrador, desde la cual se puede actualizar de forma simple la información visible en la parte pública.

Portal web d'una cooperativa agrària

El portal web és un excel·lent mitjà per poder informar sobre el funcionament d'una empresa. Aquest treball que he realitzat està encarat a una cooperativa agrícola, ja que jo tinc un gran interès en el sector agrari degut a la zona en que visc que és el Pla d'Urgell. El portal web que he realitzat està pensat perquè totes les persones interessades en tenir informació sobre la cooperativa hi puguin accedir . Aquest té accessos diferents. Un accés serà el d'una persona visitant que entra en el portal per obtenir informació, l'altre serà pels socis de la cooperativa, que podran consultar la quantitat de fruita que entren, i l'últim tipus d'accés serà el de l'administrador del portal, que aquest serà l'únic que podrà tenir control absolut del portal, com per exemple, donar d'alta a un soci, entre altres.

Implantació SAP ERP en el sector retail amb les BestPractices

L'objectiu del present TFC és dur a terme una implantació de SAP en una PIME del sector Retail mitjançant les BestPractices i comprovar que és possible realitzar aquesta implantació amb uns costos reduïts, un temps limitat i, el més important, uns riscos molt baixos i controlats.

Slope processes in changing permafrost environments: a geomorphological and sedimentological approach

Estudi realitzat a partir d’una estada al Centro de Estudos Geograficos de la Universidade de Lisboa, Portugal, entre 2011 i 2012. En aquest grup he desenvolupat la meva recerca focalitzada en ambients polars en presència de permafrost, concretament centrada en l’extrem nord-occidental de la Península Antàrtica (Shetland del Sud) i a l’Alt Àrtic (Svalvard). Ambdós àrees han registrat un augment de temperatura molt significatiu les darreres dècades. La meva recerca ha contemplat l’anàlisi de registres sedimentaris (lacustres, eòlics, vessant) i la monitorització de processos geomorfològics actuals a fi efecte d’entendre la dinàmica ambiental present i passada (i.e. clima). Amb aquesta finalitat he realitzat tres campanyes de treball de camp a l’Antàrtida i dues a l’Àrtic. El posterior treball de laboratori i d’oficina està propiciant nombroses publicacions que donen fe dels èxits assolits. A més, cal enfatitzar altres activitats desenvolupades durant la BP-A: coneixement de com organitzar i gestionar una campanya antàrtica, docència universitària, participació en comitès, associacions i tribunals de tesis doctorals, organització i participació en nombroses conferències, treball de camp en noves àrees d’estudi, referee per revistes internacionals, etc. Tanmateix, la concessió del projecte de recerca HOLOANTAR, del qual en sóc l’Investigador Responsable, ha estat l’èxit més important d’aquesta estada. Aquest projecte m’està conferint la capacitat de gestionar i integrar la recerca de 16 investigadors de diferents nacionalitats des d’una perspectiva multidisciplinar. Tothora, cal remarcar que no s’ha assolit un dels èxits que pretenia el meu projecte de BP-A: la transferència del bagatge i coneixement adquirit al sistema de recerca català. Malgrat haver presentat la meva candidatura per un contracte BP-B per tal que aquest background après a l’estranger revertís a Catalunya, el procés de selecció emprat en la convocatòria ho ha impedit i m’obliga a continuar la meva recerca a l’estranger.

Signatures of selection in the human olfactory receptor OR5I1 gene

The human olfactory receptor repertoire is reduced in comparison to other mammalsand to other non-human primates. Nonetheless, this olfactory decline opens an opportunity forevolutionary innovation and improvement. In the present study, we focus on an olfactoryreceptor gene, OR5I1, which had previously been shown to present an excess of amino acidreplacement substitutions between humans and chimpanzees. We analyze the geneticvariation in OR5I1 in a large worldwide human panel and find an excess of derived allelessegregating at relatively high frequencies in all populations. Additional evidence for selectionincludes departures from neutrality in allele frequency spectra tests but no unusually extendedhaplotype structure. Moreover, molecular structural inference suggests that one of thenonsynonymous polymorphisms defining the presumably adaptive protein form of OR5I1may alter the functional binding properties of the olfactory receptor. These results arecompatible with positive selection having modeled the pattern of variation found in the OR5I1gene and with a relatively ancient, mild selective sweep predating the “Out of Africa”expansion of modern humans.

Characterization of human gene expression changes after olive oil ingestion: an exploratory approach

Olive oil consumption is protective against risk factors for cardiovascular and cancer diseases. A nutrigenomic approach was performed to assess whether changes in gene expression could occur in human peripheral blood mononuclear cells after oli ve oil ingestion at postprandial state. Six healthy male volunteers ingested, at fasting state, 50 ml of olive oil. Prior to intervention a 1-week washout period with a controlled diet and sunflower oil as the only source of fat was followed. During the 3 days before and on the intervention day, a very low-phenolic compound diet was followed. At baseline (0 h) and at post-ingestion (6 h), total RNA was isolated and gene expression (29,082 genes) was evaluated by microarray. From microarray data, nutrient-gene interactions were observed in genes related to metabolism, cellular processes, cancer, and atherosclerosis (e.g. USP48 by 2.16; OGT by 1.68-fold change) and associated processes such as inflammation (e.g. AKAP13 by 2.30; IL-10 by 1.66-fold change) and DNA damage (e.g. DCLRE1C by 1.47; POLK by 1.44- fold change). When results obtained by microarray were verified by qRT-PCR in nine genes, full concordance was achieved only in the case of up-regulated genes. Changes were observed at a real-life dose of olive oil, as it is daily consumed in some Mediterranean areas. Our results support the hypothesis that postprandial protective changes related to olive oil consumption could be mediated through gene expression changes.

Splitting statistical potentials into meaningful scoring functions: testing the prediction of near-native structures from decoy conformations

Background: Recent advances on high-throughput technologies have produced a vast amount of protein sequences, while the number of high-resolution structures has seen a limited increase. This has impelled the production of many strategies to built protein structures from its sequence, generating a considerable amount of alternative models. The selection of the closest model to the native conformation has thus become crucial for structure prediction. Several methods have been developed to score protein models by energies, knowledge-based potentials and combination of both.Results: Here, we present and demonstrate a theory to split the knowledge-based potentials in scoring terms biologically meaningful and to combine them in new scores to predict near-native structures. Our strategy allows circumventing the problem of defining the reference state. In this approach we give the proof for a simple and linear application that can be further improved by optimizing the combination of Zscores. Using the simplest composite score () we obtained predictions similar to state-of-the-art methods. Besides, our approach has the advantage of identifying the most relevant terms involved in the stability of the protein structure. Finally, we also use the composite Zscores to assess the conformation of models and to detect local errors.Conclusion: We have introduced a method to split knowledge-based potentials and to solve the problem of defining a reference state. The new scores have detected near-native structures as accurately as state-of-art methods and have been successful to identify wrongly modeled regions of many near-native conformations.

Topological comparison of methods for predicting transcriptional cooperativity in yeast

Background: The cooperative interaction between transcription factors has a decisive role in the control of the fate of the eukaryotic cell. Computational approaches for characterizing cooperative transcription factors in yeast, however, are based on different rationales and provide a low overlap between their results. Because the wealth of information contained in protein interaction networks and regulatory networks has proven highly effective in elucidating functional relationships between proteins, we compared different sets of cooperative transcription factor pairs (predicted by four different computational methods) within the frame of those networks. Results: Our results show that the overlap between the sets of cooperative transcription factors predicted by the different methods is low yet significant. Cooperative transcription factors predicted by all methods are closer and more clustered in the protein interaction network than expected by chance. On the other hand, members of a cooperative transcription factor pair neither seemed to regulate each other nor shared similar regulatory inputs, although they do regulate similar groups of target genes. Conclusion: Despite the different definitions of transcriptional cooperativity and the different computational approaches used to characterize cooperativity between transcription factors, the analysis of their roles in the framework of the protein interaction network and the regulatory network indicates a common denominator for the predictions under study. The knowledge of the shared topological properties of cooperative transcription factor pairs in both networks can be useful not only for designing better prediction methods but also for better understanding the complexities of transcriptional control in eukaryotes.

Predicting cancer involvement of genes from heterogeneous data

Background: Systematic approaches for identifying proteins involved in different types of cancer are needed. Experimental techniques such as microarrays are being used to characterize cancer, but validating their results can be a laborious task. Computational approaches are used to prioritize between genes putatively involved in cancer, usually based on further analyzing experimental data. Results: We implemented a systematic method using the PIANA software that predicts cancer involvement of genes by integrating heterogeneous datasets. Specifically, we produced lists of genes likely to be involved in cancer by relying on: (i) protein-protein interactions; (ii) differential expression data; and (iii) structural and functional properties of cancer genes. The integrative approach that combines multiple sources of data obtained positive predictive values ranging from 23% (on a list of 811 genes) to 73% (on a list of 22 genes), outperforming the use of any of the data sources alone. We analyze a list of 20 cancer gene predictions, finding that most of them have been recently linked to cancer in literature. Conclusion: Our approach to identifying and prioritizing candidate cancer genes can be used to produce lists of genes likely to be involved in cancer. Our results suggest that differential expression studies yielding high numbers of candidate cancer genes can be filtered using protein interaction networks.

Prediction of enzyme function by combining sequence similarity and protein interactions

Background: A number of studies have used protein interaction data alone for protein function prediction. Here, we introduce a computational approach for annotation of enzymes, based on the observation that similar protein sequences are more likely to perform the same function if they share similar interacting partners. Results: The method has been tested against the PSI-BLAST program using a set of 3,890 protein sequences from which interaction data was available. For protein sequences that align with at least 40% sequence identity to a known enzyme, the specificity of our method in predicting the first three EC digits increased from 80% to 90% at 80% coverage when compared to PSI-BLAST. Conclusion: Our method can also be used in proteins for which homologous sequences with known interacting partners can be detected. Thus, our method could increase 10% the specificity of genome-wide enzyme predictions based on sequence matching by PSI-BLAST alone.

Mononuclear cell transcriptome response after sustained virgin olive oil consumption in humans: an exploratory nutrigenomics study

Virgin olive oil (VOO) is considered to be one of the main components responsible for the health benefits of the Mediterranean diet, particularly against atherosclerosis where peripheral blood mononuclear cells (PBMNCs) play a crucial role in atherosclerosis development and progression. The objective of this article was to identify the PBMNC genes that respond to VOO consumption in order to ascertain the molecular mechanisms underlying the beneficial action of VOO in the prevention of atherosclerosis. Gene expression profiles of PBMNCs from healthy individuals were examined in pooled RNA samples by microarrays after 3 weeks of moderate and regular consumption of VOO, as the main fat source in a diet controlled for antioxidant content. Gene expression was verified by qPCR. The response to VOO consumption was confirmed for individual samples (n = 10) by qPCR for 10 upregulated genes (ADAM17, ALDH1A1, BIRC1, ERCC5, LIAS, OGT, PPARBP, TNFSF10, USP48, and XRCC5). Their putative role in the molecular mechanisms involved in atherosclerosis development and progression is discussed, focusing on a possible relation with VOO consumption. Our data support the hypothesis that 3 weeks of nutritional intervention with VOO supplementation, at doses common in the Mediterranean diet, can alter the expression of genes related to atherosclerosis development and progression.