11th International Conference on Practical Applications of Computational Biology & Bioinformatics

1. Front Matter

   Pages i-xiv

   PDF

2. S2P: A Desktop Application for Fast and Easy Processing of 2D-Gel and MALDI-Based Mass Spectrometry Protein Data

   • Hugo López-Fernández, Jose E. Araújo, Daniel Glez-Peña, Miguel Reboiro-Jato, Florentino Fdez-Riverola, José L. Capelo-Martínez

   Pages 1-8

3. Multi-Enzyme Pathway Optimisation Through Star-Shaped Reachable Sets

   • Stanislav Mazurenko, Jiri Damborsky, Zbynek Prokop

   Pages 9-17

4. Automated Collection and Sharing of Adaptive Amino Acid Changes Data

   • Noé Vázquez, Cristina P. Vieira, Bárbara S. R. Amorim, André Torres, Hugo López-Fernández, Florentino Fdez-Riverola et al.

   Pages 18-25

5. ROC632: An Overview

   • Catarina Santos, Ana Cristina Braga

   Pages 26-34

6. Processing 2D Gel Electrophoresis Images for Efficient Gaussian Mixture Modeling

   • Michal Marczyk

   Pages 35-42

7. Improving Document Prioritization for Protein-Protein Interaction Extraction Using Shallow Linguistics and Word Embeddings

   • Sérgio Matos

   Pages 43-49

8. K-Means Clustering with Infinite Feature Selection for Classification Tasks in Gene Expression Data

   • Muhammad Akmal Remli, Kauthar Mohd Daud, Hui Wen Nies, Mohd Saberi Mohamad, Safaai Deris, Sigeru Omatu et al.

   Pages 50-57

9. Classification of Colorectal Cancer Using Clustering and Feature Selection Approaches

   • Hui Wen Nies, Kauthar Mohd Daud, Muhammad Akmal Remli, Mohd Saberi Mohamad, Safaai Deris, Sigeru Omatu et al.

   Pages 58-65

10. Development of Text Mining Tools for Information Retrieval from Patents

    • Tiago Alves, Rúben Rodrigues, Hugo Costa, Miguel Rocha

    Pages 66-73

11. How Can Photo Sharing Inspire Sharing Genomes?

    • Vinicius V. Cogo, Alysson Bessani, Francisco M. Couto, Margarida  Gama-Carvalho, Maria Fernandes, Paulo Esteves-Verissimo

    Pages 74-82

12. An App Supporting the Self-management of Tinnitus

    • Chamoso Pablo, De La Prieta Fernando, Eibenstein Alberto, Tizio Angelo, Vittorini Pierpaolo

    Pages 83-91

13. Anthropometric Data Analytics: A Portuguese Case Study

    • António Barata, Lucília Carvalho, Francisco M. Couto

    Pages 92-100

14. Reverse Inference in Symbolic Systems Biology

    • Beatriz Santos-Buitrago, Adrián Riesco, Merrill Knapp, Gustavo  Santos-García, Carolyn Talcott

    Pages 101-109

15. Skin Temperature Monitoring to Avoid Foot Lesions in Diabetic Patients

    • A. Queiruga-Dios, J. Bullón Pérez, A. Hernández Encinas, J. Martín-Vaquero, A. Martínez Nova, J. Torreblanca González

    Pages 110-117

16. Multidimensional Feature Selection and Interaction Mining with Decision Tree Based Ensemble Methods

    • Lukasz Krol, Joanna Polanska

    Pages 118-125

17. A Normalisation Strategy to Optimally Design Experiments in Computational Biology

    • Míriam R. García, Antonio A. Alonso, Eva Balsa-Canto

    Pages 126-136

18. Mitosis Detection in Breast Cancer Using Superpixels and Ensemble Classifiers

    • César A. Ortiz Toro, Consuelo Gonzalo Martín, Angel García Pedrero, Alejandro Rodriguez Gonzalez, Ernestina Menasalvas

    Pages 137-145

19. Reproducibility of Finding Enriched Gene Sets in Biological Data Analysis

    • Joanna Zyla, Michal Marczyk, Joanna Polanska

    Pages 146-154

20. Towards Trustworthy Predictions of Conversion from Mild Cognitive Impairment to Dementia: A Conformal Prediction Approach

    • Telma Pereira, Sandra Cardoso, Dina Silva, Alexandre de Mendonça, Manuela Guerreiro, Sara C. Madeira

    Pages 155-163

Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next-generation sequencing technologies, together with novel and constantly evolving, distinct types of omics data technologies, have created an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. 


The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, Biology is more and more a science of information and requires tools from the computational sciences. In the last few years, we have seen the rise of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences. 


In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance in boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. The PACBB’17 conference was intended to contribute to this effort and promote this fruitful interaction, with a technical program that included 39 papers spanning many different sub-fields in Bioinformatics and Computational Biology. Further, the conference promoted the interaction of scientists from diverse research groups and with a distinct background (computer scientists, mathematicians, biologists).

• PACBB 2017
• PACBB
• Intelligent Computing
• Distributed Computing
• Computational Biology
• Bioinformatics

• Escuela Superior de Ingeniería Informática, Universidad de Vigo , Ourense, Spain

  Florentino Fdez-Riverola

• Faculty of Computing, Universiti Teknologi Malaysia , Johor, Malaysia

  Mohd Saberi Mohamad

• Department de Informática, Universidade do Minho , Braga, Portugal

  Miguel Rocha

• Departamento de Informática y Automática, Universidad de Salamanca , Salamanca, Spain

  Juan F. De Paz, Tiago Pinto

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