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Volume 19 Supplement 7

12th and 13th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2015/16)


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 Editors declare that they have no competing interests and that none of the Supplement Editors were involved in the peer review process for any articles for which they are an author.

Naples, Italy and Stirling, UK10-12 September 2015, 1-3 September 2016

Edited by Riccardo Rizzo, Claudia Angelini, Andrea Bracciali and David Gilbert.

  1. Network controllability focuses on discovering combinations of external interventions that can drive a biological system to a desired configuration. In practice, this approach translates into finding a combine...

    Authors: Krishna Kanhaiya, Vladimir Rogojin, Keivan Kazemi, Eugen Czeizler and Ion Petre
    Citation: BMC Bioinformatics 2018 19(Suppl 7):185
  2. Recent advances in data analysis methods based on principles of Mendelian Randomisation, such as Egger regression and the weighted median estimator, add to the researcher’s ability to infer cause-effect links ...

    Authors: Susana Conde, Xiaoguang Xu, Hui Guo, Markus Perola, Teresa Fazia, Luisa Bernardinelli and Carlo Berzuini
    Citation: BMC Bioinformatics 2018 19(Suppl 7):195
  3. In exploring the time course of a disease to support or generate biological hypotheses, the shape of the hazard function provides relevant information. For long follow-ups the shape of hazard function may be c...

    Authors: Marco Fornili, Patrizia Boracchi, Federico Ambrogi and Elia Biganzoli
    Citation: BMC Bioinformatics 2018 19(Suppl 7):186
  4. The aim of this article is to analyze the effect on biochemical recurrence and on overall survival of removing an extensive number of pelvic lymph nodes during prostate cancer surgery. The lack of evidence fro...

    Authors: Chiara Gigliarano, Alessandro Nonis, Alberto Briganti, Marco Bonetti and Clelia Di Serio
    Citation: BMC Bioinformatics 2018 19(Suppl 7):200
  5. Determining the value of kinetic constants for a metabolic system in the exact physiological conditions is an extremely hard task. However, this kind of information is of pivotal relevance to effectively simul...

    Authors: Riccardo Colombo, Chiara Damiani, David Gilbert, Monika Heiner, Giancarlo Mauri and Dario Pescini
    Citation: BMC Bioinformatics 2018 19(Suppl 7):251
  6. An open challenge in translational bioinformatics is the analysis of sequenced metagenomes from various environmental samples. Of course, several studies demonstrated the 16S ribosomal RNA could be considered ...

    Authors: Antonino Fiannaca, Laura La Paglia, Massimo La Rosa, Giosue’ Lo Bosco, Giovanni Renda, Riccardo Rizzo, Salvatore Gaglio and Alfonso Urso
    Citation: BMC Bioinformatics 2018 19(Suppl 7):198
  7. The analysis of tissue-specific protein interaction networks and their functional enrichment in pathological and normal tissues provides insights on the etiology of diseases. The Pan-cancer proteomic project, ...

    Authors: Davide S. Sardina, Giovanni Micale, Alfredo Ferro, Alfredo Pulvirenti and Rosalba Giugno
    Citation: BMC Bioinformatics 2018 19(Suppl 7):188
  8. A huge and continuous increase in the number of completely sequenced chloroplast genomes, available for evolutionary and functional studies in plants, has been observed during the past years. Consequently, it ...

    Authors: Régis Garnier, Christophe Guyeux, Jean-François Couchot, Michel Salomon, Bashar Al-Nuaimi and Bassam AlKindy
    Citation: BMC Bioinformatics 2018 19(Suppl 7):218
  9. With ever increasing accessibility to high throughput technologies, more complex treatment structures can be assessed in a variety of ’omics applications. This adds an extra layer of complexity to the analysis...

    Authors: Kirsty L. Hassall and Andrew Mead
    Citation: BMC Bioinformatics 2018 19(Suppl 7):199
  10. De novo assembly of RNA-seq data allows the study of transcriptome in absence of a reference genome either if data is obtained from a single organism or from a mixed sample as in metatranscriptomics studies. G...

    Authors: Igor Saggese, Elisa Bona, Max Conway, Francesco Favero, Marco Ladetto, Pietro Liò, Giovanni Manzini and Flavio Mignone
    Citation: BMC Bioinformatics 2018 19(Suppl 7):184

Annual Journal Metrics

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    3.0 - 2-year Impact Factor
    4.3 - 5-year Impact Factor
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