Computational Intelligence Methods for Bioinformatics and Biostatistics

1. Front Matter

   Pages I-X

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2. An Open-Source Tool for Managing Time-Evolving Variant Annotation

   • Ilio Catallo, Eleonora Ciceri, Stefania Stenirri, Stefania Merella, Alberto Sanna, Maurizio Ferrari et al.

   Pages 1-8

3. Extracting Few Representative Reconciliations with Host Switches

   • Mattia Gastaldello, Tiziana Calamoneri, Marie-France Sagot

   Pages 9-18

4. A Quantitative and Qualitative Characterization of k-mer Based Alignment-Free Phylogeny Construction

   • Filippo Utro, Daniel E. Platt, Laxmi Parida

   Pages 19-31

5. Cancer Mutational Signatures Identification with Sparse Dictionary Learning

   • Veronica Tozzo, Annalisa Barla

   Pages 32-41

6. Icing: Large-Scale Inference of Immunoglobulin Clonotypes

   • Federico Tomasi, Margherita Squillario, Alessandro Verri, Davide Bagnara, Annalisa Barla

   Pages 42-50

7. Adenine: A HPC-Oriented Tool for Biological Data Exploration

   • Samuele Fiorini, Federico Tomasi, Margherita Squillario, Annalisa Barla

   Pages 51-59

8. Disease–Genes Must Guide Data Source Integration in the Gene Prioritization Process

   • Marco Frasca, Jean Fred Fontaine, Giorgio Valentini, Marco Mesiti, Marco Notaro, Dario Malchiodi et al.

   Pages 60-69

9. Ensembling Descendant Term Classifiers to Improve Gene - Abnormal Phenotype Predictions

   • Marco Notaro, Max Schubach, Marco Frasca, Marco Mesiti, Peter N. Robinson, Giorgio Valentini

   Pages 70-80

10. GP-Based Grammatical Inference for Classification of Amyloidogenic Sequences

    • Wojciech Wieczorek, Olgierd Unold

    Pages 81-91

11. Estimation of Kinetic Reaction Constants: Exploiting Reboot Strategies to Improve PSO’s Performance

    • Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Paolo Cazzaniga, Marco S. Nobile

    Pages 92-102

12. Haplotype and Repeat Separation in Long Reads

    • German Tischler-Höhle

    Pages 103-114

13. Tumor Subclonal Progression Model for Cancer Hallmark Acquisition

    • Yusuke Matsui, Satoru Miyano, Teppei Shimamura

    Pages 115-123

14. GIMLET: Identifying Biological Modulators in Context-Specific Gene Regulation Using Local Energy Statistics

    • Teppei Shimamura, Yusuke Matsui, Taisuke Kajino, Satoshi Ito, Takashi Takahashi, Satoru Miyano

    Pages 124-137

15. Structural Features of a DPPG Liposome Layer Adsorbed on a Rough Surface

    • Maria Raposo, Andreia A. Duarte, Paulo J. Gomes, Paulo A. Ribeiro, Marli L. Moraes, Roland Steitz

    Pages 138-144

16. Chemical Exchanges and Actuation in Liposome-Based Synthetic Cells: Interaction with Biological Cells

    • Giordano Rampioni, Francesca D’Angelo, Alessandro Zennaro, Livia Leoni, Pasquale Stano

    Pages 145-158

17. A Nano Communication System for CTC Detection in Blood Vessels

    • Luca Felicetti, Mauro Femminella, Gianluca Reali

    Pages 159-170

18. Experimental Evidences Suggest High Between-Vesicle Diversity of Artificial Vesicle Populations: Results, Models and Implications

    • Pasquale Stano, Roberto Marangoni, Fabio Mavelli

    Pages 171-185

19. Towards the Synthesis of Photo-Autotrophic Protocells

    • Emiliano Altamura, Paola Albanese, Roberto Marotta, Pasquale Stano, Francesco Milano, Massimo Trotta et al.

    Pages 186-199

20. Hierarchical Block Matrix Approach for Multi-view Clustering

    • Angela Serra, Maria Domenica Guida, Pietro Lió, Roberto Tagliaferri

    Pages 200-212

This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Meeting on Computational. Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2017, held in Cagliari, Italy, in September 2017.
The 19 revised full papers presented were carefully reviewed and selected from 44 submissions. The papers deal with the application of computational intelligence to open problems in bioinformatics, biostatistics, systems and synthetic biology, medical informatics, computational approaches to life sciences in general.

• artificial intelligence
• bioinformatics
• clustering
• genes
• problem solving
• semantics
• computational genomics
• computational proteomics
• health informatics
• medical informatics
• metabolomics / metabonomics
• pharmacogenomics
• algorithm analysis and problem complexity

• University of Cagliari, Cagliari, Italy

  Massimo Bartoletti

• University of Genova, Genoa, Italy

  Annalisa Barla

• University of Stirling, Stirling, UK

  Andrea Bracciali

• Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany

  Gunnar W. Klau

• Houston Methodist Research Institute, Houston, USA

  Leif Peterson

• University of Udine, Udine, Italy

  Alberto Policriti

• University of Salerno, Fisciano, Italy

  Roberto Tagliaferri

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