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Journal Cover BMC Bioinformatics
  [SJR: 1.722]   [H-I: 144]   [143 followers]  Follow
  This is an Open Access Journal Open Access journal
   ISSN (Print) 1471-2105
   Published by Biomed Central Ltd. Homepage  [293 journals]
  • Heterogeneous computing for epidemiological model fitting and simulation

    • Authors: Thomas Kovac; Tom Haber, Frank Van Reeth Niel Hens
      Abstract: Over the last years, substantial effort has been put into enhancing our arsenal in fighting epidemics from both technological and theoretical perspectives with scientists from different fields teaming up for r...
      PubDate: 2018-03-16T00:00:00Z
  • IDPM: an online database for ion distribution in protein molecules

    • Authors: Xilun Xiang; Haiguang Liu
      Abstract: Interactions between ions and proteins have been extensively studied, yet most of the studies focus on the ion binding site. The binding mechanism for many ion binding sites can be clearly described from high ...
      PubDate: 2018-03-16T00:00:00Z
  • Assessing microscope image focus quality with deep learning

    • Authors: Samuel J. Yang; Marc Berndl, D. Michael Ando, Mariya Barch, Arunachalam Narayanaswamy, Eric Christiansen, Stephan Hoyer, Chris Roat, Jane Hung, Curtis T. Rueden, Asim Shankar, Steven Finkbeiner Philip Nelson
      Abstract: Large image datasets acquired on automated microscopes typically have some fraction of low quality, out-of-focus images, despite the use of hardware autofocus systems. Identification of these images using auto...
      PubDate: 2018-03-15T00:00:00Z
  • Watchdog – a workflow management system for the distributed analysis of
           large-scale experimental data

    • Authors: Michael Kluge; Caroline C. Friedel
      Abstract: The development of high-throughput experimental technologies, such as next-generation sequencing, have led to new challenges for handling, analyzing and integrating the resulting large and diverse datasets. Bi...
      PubDate: 2018-03-13T00:00:00Z
  • Inferring RNA sequence preferences for poorly studied RNA-binding proteins
           based on co-evolution

    • Authors: Shu Yang; Junwen Wang Raymond T. Ng
      Abstract: Characterizing the binding preference of RNA-binding proteins (RBP) is essential for us to understand the interaction between an RBP and its RNA targets, and to decipher the mechanism of post-transcriptional r...
      PubDate: 2018-03-12T00:00:00Z
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