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Volume 21 Supplement 10

Proceedings from the 13th Bioinformatics and Computational Biology International Conference - BBCC2018


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 peer review process for supplements. The Supplement Editor declares that they have no competing interests.

Naples, Italy19-21 November 2018

Edited by Angelo Facchiano

Conference website

  1. Oscillatory genes, with periodic expression at the mRNA and/or protein level, have been shown to play a pivotal role in many biological contexts. However, with the exception of the circadian clock and cell cyc...

    Authors: Luisa Cutillo, Alexis Boukouvalas, Elli Marinopoulou, Nancy Papalopulu and Magnus Rattray

    Citation: BMC Bioinformatics 2020 21(Suppl 10):351

    Content type: Research

    Published on:

  2. Bioinformatics has pervaded all fields of biology and has become an indispensable tool for almost all research projects. Although teaching bioinformatics has been incorporated in all traditional life science c...

    Authors: Ludovica Liguori, Maria Monticelli, Mariateresa Allocca, Maria Vittoria Cubellis and Bruno Hay Mele

    Citation: BMC Bioinformatics 2020 21(Suppl 10):348

    Content type: Research

    Published on:

  3. RNA editing is a widespread co-/post-transcriptional mechanism that alters primary RNA sequences through the modification of specific nucleotides and it can increase both the transcriptome and proteome diversi...

    Authors: Tiziano Flati, Silvia Gioiosa, Nicola Spallanzani, Ilario Tagliaferri, Maria Angela Diroma, Graziano Pesole, Giovanni Chillemi, Ernesto Picardi and Tiziana Castrignanò

    Citation: BMC Bioinformatics 2020 21(Suppl 10):353

    Content type: Software

    Published on:

  4. Type A influenza viruses circulate and spread among wild birds and mostly consist of low pathogenic strains. However, fast genome variation timely results in the insurgence of high pathogenic strains, which wh...

    Authors: Irene Righetto and Francesco Filippini

    Citation: BMC Bioinformatics 2020 21(Suppl 10):354

    Content type: Research

    Published on:

  5. The scope of this work is to build a Machine Learning model able to predict patients risk to contract a multidrug resistant urinary tract infection (MDR UTI) after hospitalization. To achieve this goal, we use...

    Authors: Alessio Mancini, Leonardo Vito, Elisa Marcelli, Marco Piangerelli, Renato De Leone, Sandra Pucciarelli and Emanuela Merelli

    Citation: BMC Bioinformatics 2020 21(Suppl 10):347

    Content type: Research

    Published on:

  6. Biological networks are representative of the diverse molecular interactions that occur within cells. Some of the commonly studied biological networks are modeled through protein-protein interactions, gene reg...

    Authors: Ichcha Manipur, Ilaria Granata, Lucia Maddalena and Mario R. Guarracino

    Citation: BMC Bioinformatics 2020 21(Suppl 10):349

    Content type: Research

    Published on:

    The Correction to this article has been published in BMC Bioinformatics 2020 21:494

  7. The advent of Next Generation Sequencing (NGS) technologies and the concomitant reduction in sequencing costs allows unprecedented high throughput profiling of biological systems in a cost-efficient manner. Mo...

    Authors: Tiziana Castrignanò, Silvia Gioiosa, Tiziano Flati, Mirko Cestari, Ernesto Picardi, Matteo Chiara, Maddalena Fratelli, Stefano Amente, Marco Cirilli, Marco Antonio Tangaro, Giovanni Chillemi, Graziano Pesole and Federico Zambelli

    Citation: BMC Bioinformatics 2020 21(Suppl 10):352

    Content type: Software

    Published on:

  8. High throughput methods, in biological and biomedical fields, acquire a large number of molecular parameters or omics data by a single experiment. Combining these omics data can significantly increase the capa...

    Authors: Angelo Ciaramella, Davide Nardone and Antonino Staiano

    Citation: BMC Bioinformatics 2020 21(Suppl 10):350

    Content type: Research

    Published on:

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  • As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

Annual Journal Metrics

  • Speed
    70 days to first decision for reviewed manuscripts only
    44 days to first decision for all manuscripts
    163 days from submission to acceptance
    36 days from acceptance to publication

    Citation Impact
    3.242 - 2-year Impact Factor
    3.213 - 5-year Impact Factor
    1.156 - Source Normalized Impact per Paper (SNIP)
    1.626 - SCImago Journal Rank (SJR)

    5089 Altmetric Mentions