Browsing by Author "Piñero González, Janet, 1977-"

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  • Gomez-Rubio, P.; Piñero González, Janet, 1977-; Ilzarbe Sánchez, Lucas; Iglesias Coma, Mar; Poves Prim, José Ignacio; Real, Francisco X.; PanGenEU Study Investigators (Oxford University Press, 2017)
    BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is usually diagnosed in late adulthood; therefore, many patients suffer or have suffered from other diseases. Identifying disease patterns associated with PDAC risk may ...
  • Bauer-Mehren, Anna; van Mulligen, Erik M.; Avillach, Paul; Carrascosa Baena, María Carmen, 1972-; García Serna, Ricard; Piñero González, Janet, 1977-; Singh, Barat; Lopes, Pedro; Oliveira, José Luis; Diallo, Gayo; Ahlberg Helgee, Ernst; Boyer, Scott; Mestres i López, Jordi; Sanz, Ferran; Kors, Jan A.; Furlong, Laura I., 1971- (Public Library of Science (PLoS), 2012)
    Drug safety issues pose serious health threats to the population and constitute a major cause of mortality worldwide. Due to the prominent implications to both public health and the pharmaceutical industry, it is of great ...
  • Del Toro, N.; Piñero González, Janet, 1977-; Furlong, Laura I., 1971-; Porras, P.; IMEx Consortium Curators (Nature Research, 2019)
    The current wealth of genomic variation data identified at nucleotide level presents the challenge of understanding by which mechanisms amino acid variation affects cellular processes. These effects may manifest as distinct ...
  • Piñero González, Janet, 1977- (Universitat Pompeu Fabra, 2015-12-17)
    In the last two decades, the volume and variety of biomedical data has dramatically increased. The data is heterogeneous and scattered across many resources. This produces bottlenecks in the analysis and extraction of ...
  • Queralt Rosinach, Núria; Piñero González, Janet, 1977-; Bravo Serrano, Àlex, 1984-; Sanz, Ferran; Furlong, Laura I., 1971- (Oxford University Press , 2016)
    MOTIVATION: DisGeNET-RDF makes available knowledge on the genetic basis of human diseases in the Semantic Web. Gene-disease associations (GDAs) and their provenance metadata are published as human-readable and machine-processable ...
  • Piñero González, Janet, 1977-; Bravo Serrano, Àlex, 1984-; Queralt Rosinach, Núria; Gutiérrez Sacristán, Alba; Déu Pons, Jordi; Centeno, Emilio; García-García, Javier, 1982-; Sanz, Ferran; Furlong, Laura I., 1971- (Oxford University Press, 2017)
    The information about the genetic basis of human diseases lies at the heart of precision medicine and drug discovery. However, to realize its full potential to support these goals, several problems, such as fragmentation, ...
  • Piñero González, Janet, 1977-; Queralt Rosinach, Núria; Bravo Serrano, Àlex, 1984-; Déu Pons, Jordi; Bauer-Mehren, Anna; Baron, Martin; Sanz, Ferran; Furlong, Laura I., 1971- (Oxford University Press, 2015)
    DisGeNET is a comprehensive discovery platform designed to address a variety of questions concerning the genetic underpinning of human diseases. DisGeNET contains over 380,000 associations between >16,000 genes and 13,000 ...
  • Souza, Terezinha; Panuwat, Trairatphisan; Piñero González, Janet, 1977-; Furlong, Laura I., 1971-; Saez-Rodriguez, Julio; Kleinjans, Jos C.; Jennen, Danyel (Frontiers, 2018)
    In toxicogenomics, functional annotation is an important step to gain additional insights into genes with aberrant expression that drive pathophysiological mechanisms. Nevertheless, there exists a gap on annotation of these ...
  • Bravo Serrano, Àlex, 1984-; Piñero González, Janet, 1977-; Queralt Rosinach, Núria; Rautschka, Michael; Furlong, Laura I., 1971- (BioMed Central, 2015)
    BACKGROUND: Current biomedical research needs to leverage and exploit the large amount of information reported in scientific publications. Automated text mining approaches, in particular those aimed at finding relationships ...
  • Rubio Pérez, Carlota, 1990-; Güney, Emre, 1983-; Aguilar, Daniel; Piñero González, Janet, 1977-; García-García, Javier, 1982-; Iadarola, Barbara; Sanz, Ferran; Fernández Fuentes, Narcís; Furlong, Laura I., 1971-; Oliva Miguel, Baldomero (Nature Publishing Group, 2017)
    Understanding relationships between diseases, such as comorbidities, has important socio-economic implications, ranging from clinical study design to health care planning. Most studies characterize disease comorbidity using ...
  • Aguirre Plans, Joaquim; Piñero González, Janet, 1977-; Sanz, Ferran; Furlong, Laura I., 1971-; Fernández Fuentes, Narcís; Oliva Miguel, Baldomero; Guney, Emre (Elsevier, 2019)
    The genetic basis of complex diseases involves alterations on multiple genes. Unraveling the interplay between these genetic factors is key to the discovery of new biomarkers and treatments. In 2014, we introduced GUILDify, ...
  • Piñero González, Janet, 1977-; Furlong, Laura I., 1971-; Sanz, Ferran (Elsevier, 2018)
    The use and utility of computational models in drug development has significantly grown in the last decades, fostered by the availability of high throughput datasets and new data analysis strategies. These in silico ...
  • Berenstein, Ariel José; Piñero González, Janet, 1977-; Furlong, Laura I., 1971-; Chernomoretz, Ariel (Public Library of Science, 2015)
    BACKGROUND: Cluster-based descriptions of biological networks have received much attention in recent years fostered by accumulated evidence of the existence of meaningful correlations between topological network clusters ...
  • Grosdidier, Solène; Ferrer, Antoni-Lluc, 1942-; Faner, Rosa; Piñero González, Janet, 1977-; Roca, Josep; García Cosio, Borja; Agustí, Alvar; Gea Guiral, Joaquim; Sanz, Ferran; Furlong, Laura I., 1971- (BioMed Central, 2014)
    Background: Patients with chronic obstructive pulmonary disease (COPD) often suffer concomitant disorders that worsen significantly their health status and vital prognosis. The pathogenic mechanisms underlying COPD ...
  • Piñero González, Janet, 1977-; Gonzalez-Perez, Abel; Guney, Emre; Aguirre Plans, Joaquim; Sanz, Ferran; Oliva Miguel, Baldomero; Furlong, Laura I., 1971- (Frontiers, 2018)
    Understanding the mechanisms underlying drug therapeutic action and toxicity is crucial for the prevention and management of drug adverse reactions, and paves the way for a more efficient and rational drug design. The ...
  • Aguirre Plans, Joaquim; Piñero González, Janet, 1977-; Menche, Jörg; Sanz, Ferran; Furlong, Laura I., 1971-; Schmidt, Harald H.H.W.; Oliva Miguel, Baldomero; Guney, Emre (MDPI, 2018)
    The past decades have witnessed a paradigm shift from the traditional drug discovery shaped around the idea of “one target, one disease” to polypharmacology (multiple targets, one disease). Given the lack of ...
  • Gutiérrez Sacristán, Alba; Grosdidier, Solène; Valverde Granados, Olga; Torrens, Marta; Bravo Serrano, Àlex, 1984-; Piñero González, Janet, 1977-; Sanz, Ferran; Furlong, Laura I., 1971- (Oxford University Press, 2015)
    PsyGeNET (Psychiatric disorders and Genes association NETwork) is a knowledge platform for the exploratory analysis of psychiatric diseases and their associated genes. PsyGeNET is composed of a database and a web interface ...
  • Pérez-Granado, Judith; Piñero González, Janet, 1977-; Furlong, Laura I., 1971- (Oxford University Press, 2019)
    The clinical efficacy of therapeutic monoclonal antibodies for breast and colorectal cancer has greatly contributed to the improvement of patients' outcomes by individualizing their treatments according to their genomic ...
  • Piñero González, Janet, 1977-; Ramírez Anguita, Juan Manuel; Saüch Pitarch, Josep; Ronzano, Francesco; Centeno, Emilio; Sanz, Ferran; Furlong, Laura I., 1971- (Oxford University Press, 2020)
    One of the most pressing challenges in genomic medicine is to understand the role played by genetic variation in health and disease. Thanks to the exploration of genomic variants at large scale, hundreds of thousands of ...
  • Piñero González, Janet, 1977-; Berenstein, Ariel José; González-Pérez, Abel; Chernomoretz, Ariel; Furlong, Laura I., 1971- (Nature Publishing group, 2016)
    Characterizing the behavior of disease genes in the context of biological networks has the potential to shed light on disease mechanisms, and to reveal both new candidate disease genes and therapeutic targets. Previous ...