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Volume 17 Supplement 4

NETTAB 2014. From structural bioinformatics to integrative systems biology


Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard review process for supplements. The Supplement Editors declare that they have no competing interests.

Torino, Italy15-17 October 2014

Go to conference site.

Edited by Paolo Romano and Francesca Cordero

  1. The fourteenth NETTAB workshop, NETTAB 2014, was devoted to a range of disciplines going from structural bioinformatics, to proteomics and to integrative systems biology. The topics of the workshop were centre...

    Authors: Paolo Romano and Francesca Cordero
    Citation: BMC Bioinformatics 2016 17(Suppl 4):62

    The Erratum to this article has been published in BMC Bioinformatics 2016 17:293

  2. Biologists generally interrogate genomics data using web-based genome browsers that have limited analytical potential. New generation genome browsers such as the Integrated Genome Browser (IGB) have largely ov...

    Authors: Arnaud Céol, Lisette G. G. C. Verhoef, Mark Wade and Heiko Muller
    Citation: BMC Bioinformatics 2016 17(Suppl 4):54
  3. Phosphorylation is one of the most important post-translational modifications (PTM) employed by cells to regulate several cellular processes. Studying the effects of phosphorylations on protein structures allo...

    Authors: Federica Chiappori, Luca Mattiazzi, Luciano Milanesi and Ivan Merelli
    Citation: BMC Bioinformatics 2016 17(Suppl 4):57
  4. Bisulfite treatment of DNA followed by sequencing (BS-seq) has become a standard technique in epigenetic studies, providing researchers with tools for generating single-base resolution maps of whole methylomes...

    Authors: Nicola Prezza, Francesco Vezzi, Max Käller and Alberto Policriti
    Citation: BMC Bioinformatics 2016 17(Suppl 4):69
  5. Mass spectrometry (MS) is producing high volumes of data supporting oncological sciences, especially for translational research. Most of related elaborations can be carried out by combining existing tools at d...

    Authors: Paolo Romano, Aldo Profumo, Mattia Rocco, Rosa Mangerini, Fabio Ferri and Angelo Facchiano
    Citation: BMC Bioinformatics 2016 17(Suppl 4):61

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