Enviaments recents

  • Baitmet, a computational approach for GC–MS library-driven metabolite profiling 

    Domingo, Xavier; Brezmes, Jesus; Venturini, G; Vivó-Truyols, Gabriel; Perera Lluna, Alexandre; Vinaixa, Maria (2017-06-24)
    Article
    Accés restringit per política de l'editorial
    Current computational tools for gas chromatography – mass spectrometry (GC – MS) metabolomics profiling do not focus on metabolite identification, that still remains as the entire workflow bottleneck and it relies on manual ...
  • DNA methylation profiling unveils TGF-ß hyperresponse in tumor associated fibroblasts from lung cancer patients 

    Vizioso, Miguel; Puig, Marta; Carmona, F. Javier; Maqueda González, María de los Ángeles; Gomez, Antonio; Labernardie, nna; Gabasa, Marta; Mendizuri, Saloa; Ikemori, Rafael; Trepat Guixer, Xavier; Moran, Sebastian; Vidal, Enrique; Reguart, Noemí; Perera Lluna, Alexandre; Esteller, Manel; Alcaraz, Jordi (2016-07-22)
    Article
    Accés restringit per política de l'editorial
    There is growing interest in defining the aberrant molecular differences between normal and tumor-associated fibroblasts (TAFs) that support tumor progression. For this purpose, we recently conducted a genome-wide DNA ...
  • Early prediction of Alzheimer's disease using null longitudinal model-based classifiers 

    Gavidia Bovadilla, Giovana Elizabeth; Kanaan Izquierdo, Samir; Mataro Serrat, Maria; Perera Lluna, Alexandre (2017-01-03)
    Article
    Accés obert
    Incipient Alzheimer’s Disease (AD) is characterized by a slow onset of clinical symptoms, with pathological brain changes starting several years earlier. Consequently, it is necessary to first understand and differentiate ...
  • Solarius: an R interface to SOLAR for variance component analysis in pedigrees 

    Ziyatdinov, Andrey; Brunel, Helena; Martinez Perez, Angel; Buil, Alfonso; Perera Lluna, Alexandre; Soria, José Manuel (2016-02-15)
    Article
    Accés obert
    The open source environment R is one of the most widely used software for statistical computing. It provides a variety of applications including statistical genetics. Most of the powerful tools for quantitative genetic ...
  • The Central role of KNG1 gene as a genetic determinant of coagulation pathway-related traits: Exploring metaphenotypes 

    Brunel, Helena; Massanet, Raimon; Martinez Perez, Angel; Ziyatdinov, Andrey; Martin-Fernandez, Laura; Souto, Juan Carlos; Perera Lluna, Alexandre; Soria, José Manuel (2016-12-22)
    Article
    Accés obert
    Traditional genetic studies of single traits may be unable to detect the pleiotropic effects involved in complex diseases. To detect the correlation that exists between several phenotypes involved in the same ...
  • Applicability of semi-supervised learning assumptions for gene ontology terms prediction 

    Jaramillo-Garzón, Jorge Alberto; Castellanos, Cesar German; Perera Lluna, Alexandre (2016-06-01)
    Article
    Accés obert
    Gene Ontology (GO) is one of the most important resources in bioinformatics, aiming to provide a unified framework for the biological annotation of genes and proteins across all species. Predicting GO terms is an essential ...
  • Cardiac electrical defects in progeroid mice and Hutchinson-Gilford progeria syndrome patients with nuclear lamina alterations 

    Riveras Torres, Jose; Calvo, Conrado J.; Llach, Anna; Gúzman Martínez, Gabriela; Caballero, Ricardo; González Gómez, Cristina; Jiménez Borreguero, Luís J.; Guadix, Juan A.; Osorio, Fernando G.; López Otín, Carlos; Herraiz Martínez, Adela; Cabello, Nuria; Vallmitjana Lees, Alex; Benítez Iglesias, Raúl; Gordon, Leslie B. (2016-11-15)
    Article
    Accés obert
    Hutchinson–Gilford progeria syndrome (HGPS) is a rare genetic disease caused by defective prelamin A processing, leading to nuclear lamina alterations, severe cardiovascular pathology, and premature death. Prelamin A ...
  • Sequence information gain based motif analysis 

    Maynou Fernández, Joan; Pairó, Erola; Marco, Santiago; Perera Lluna, Alexandre (2015-11-09)
    Article
    Accés obert
    Background: The detection of regulatory regions in candidate sequences is essential for the understanding of the regulation of a particular gene and the mechanisms involved. This paper proposes a novel methodology based ...
  • eRah: A Computational Tool Integrating Spectral Deconvolution and Alignment with Quantification and Identification of Metabolites in GC/MS-Based Metabolomics 

    Domingo Almenara, Xavier; Brezmes, Jesus; Vinaixa, Maria; Samino, Sara; Ramirez, Noelia; Ramon Krauel, Marta; Lerin, Carles; Díaz, Marta; Ibañez, Lourdes; Correig, Xavier; Perera Lluna, Alexandre; Yanes, Óscar (2016-10-04)
    Article
    Accés restringit per política de l'editorial
    Gas chromatography coupled to mass spectrometry (GC/MS) has been a long-standing approach used for identifying small molecules due to the highly reproducible ionization process of electron impact ionization (EI). However, ...
  • Avoiding hard chromatographic segmentation: A moving window approach for the automated resolution of gas chromatography–mass spectrometry-based metabolomics signals by multivariate methods 

    Domingo Almenara, Xavier; Perera Lluna, Alexandre; Brezmes, Jesus (2016-11-25)
    Article
    Accés restringit per política de l'editorial
    Gas chromatography–mass spectrometry (GC–MS) produces large and complex datasets characterized by co-eluted compounds and at trace levels, and with a distinct compound ion-redundancy as a result of the high fragmentation ...

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