Recent Submissions

  • Probabilistic graphlets capture biological function in probabilistic molecular networks 

    Doria Belenguer, Sergio; Youssef, Markus Kirolos; Böttcher, René; Malod-Dognin, Noël; Pržulj, Nataša (Oxford University Press, 2020-12-29)
    Article
    Restricted access - publisher's policy
    Motivation: Molecular interactions have been successfully modeled and analyzed as networks, where nodes represent molecules and edges represent the interactions between them. These networks revealed that molecules with ...
  • The impact of non-additive genetic associations on age-related complex diseases 

    Guindo Martínez, Marta; Amela Milian, Ramon; Bonàs Guarch, Silvia; Puiggros Maldonado, Montserrat; Salvoro, Cecilia; Miguel Escalada, Irene; Sánchez Castaño, Friman; Ramón Cortés, Cristian; Badia Sala, Rosa Maria; Ejarque Artigas, Jorge; Mercader Bigas, Josep Maria; Torrents Rodas, David (2021-04-23)
    Article
    Open Access
    Genome-wide association studies (GWAS) are not fully comprehensive, as current strategies typically test only the additive model, exclude the X chromosome, and use only one reference panel for genotype imputation. We ...
  • AutoParallel: Automatic parallelisation and distributed execution of affine loop nests in Python 

    Ramón Cortés, Cristian; Amela Milian, Ramon; Ejarque Artigas, Jorge; Clauss, Philippe; Badia Sala, Rosa Maria (Sage, 2020)
    Article
    Open Access
    The last improvements in programming languages and models have focused on simplicity and abstraction; leading Python to the top of the list of the programming languages. However, there is still room for improvement when ...
  • Efficient development of high performance data analytics in Python 

    Álvarez Cid-Fuentes, Javier; Alvarez, Pol; Amela Milian, Ramon; Ishii, Kuninori; Morizawa, Rafael K.; Badia Sala, Rosa Maria (Elsevier, 2020-10)
    Article
    Open Access
    Our society is generating an increasing amount of data at an unprecedented scale, variety, and speed. This also applies to numerous research areas, such as genomics, high energy physics, and astronomy, for which large-scale ...
  • Executing linear algebra kernels in heterogeneous distributed infrastructures with PyCOMPSs 

    Amela Milian, Ramon; Ramon-cortés Vilarrodona, Cristian; Ejarque, Jorge; Conejero, Javier; Badia Sala, Rosa Maria (EDP Open, 2018-10-24)
    Article
    Open Access
    Python is a popular programming language due to the simplicity of its syntax, while still achieving a good performance even being an interpreted language. The adoption from multiple scientific communities has evolved in ...