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Practical Applications of Computational Biology and Bioinformatics, 13th International Conference

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Florentino Fdez-Riverola

    1. Edificio Politécnico, Escuela Superior de Ingeniería Informática,Campus Universitario As Lagoas , Ourense, Spain

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  2. Miguel Rocha

    1. Department de Informática, Universidade do Minho, Braga, Portugal

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  3. Mohd Saberi Mohamad

    1. Faculty of Bioengineering and Technology, Universiti Malaysia Kelantan, Kelantan, Malaysia

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  4. Nazar Zaki

    1. Department of Computer Science and Software Engineering Leader, Data Science Research Group, College of Information Technology (CIT) United Arab Emirates University (UAEU), Al Ain, United Arab Emirates

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  5. José A. Castellanos-Garzón

    1. IBSAL/BISITE Research Group, University of Salamanca, Salamanca, Spain

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  • Presents the latest research on practical applications of computational biology & bioinformatics
  • Features the outcomes of the 13th International Conference on Practical Applications of Computational Biology & Bioinformatics held in Ávila, Spain, from 26th to 28th June 2019
  • Discusses interdisciplinary applications of computational intelligence, exploring the interactions between bioinformatics, chemoinformatics and systems biology

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1005)

Included in the following conference series:

Conference proceedings info: PACBB 2019.

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About this book

This book features 21 papers spanning many different sub-fields in bioinformatics and computational biology, presenting the latest research on the practical applications to promote fruitful interactions between young researchers in different areas related to the field. Next-generation sequencing technologies, together with other emerging and diverse experimental techniques, are evolving rapidly, creating numerous types of omics data. These, in turn, are creating new challenges for the expanding fields of bioinformatics and computational biology, which seek to analyse, process, integrate and extract meaningful knowledge from such data. This calls for new algorithms and approaches from fields such as databases, statistics, data mining, machine learning, optimization, computer science, machine learning and artificial intelligence. Clearly, biology is increasingly becoming a science of information, requiring tools from the computational sciences. To address these challenges, we have seen the emergence 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 areas is, more than ever, vital to boost the research efforts in the field and contribute to the training of the new generation of interdisciplinary scientists.



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Table of contents (21 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. ProtRet: A Web Server for Retrieving Proteins in a Functional Complex

    • Nazar Zaki, Maryam Al Yammahi, Tetiana Habuza
    Pages 1-7

  3. Proposal of a New Bioinformatics Pipeline for Metataxonomics in Precision Medicine

    • Osvaldo Graña-Castro, Hugo López-Fernández, Florentino Fdez-Riverola, Fátima Al-Shahrour, Daniel Glez-Peña
    Pages 8-15

  4. Systems Toxicology Approach to Unravel Early Indicators of Squamous Cell Carcinoma Rate in Rat Nasal Epithelium Induced by Formaldehyde Exposure

    • Florian Martin, Marja Talikka, Julia Hoeng, Manuel C. Peitsch
    Pages 16-24

  5. Moment Vector Encoding of Protein Sequences for Supervised Classification

    • Haneen Altartouri, Tobias Glasmachers
    Pages 25-35

  6. A Hybrid of Particle Swarm Optimization and Minimization of Metabolic Adjustment for Ethanol Production of Escherichia Coli

    • Mee K. Lee, Mohd Saberi Mohamad, Yee Wen Choon, Kauthar Mohd Daud, Nurul Athirah Nasarudin, Mohd Arfian Ismail et al.
    Pages 36-44

  7. Cache-Efficient FM-Index Variants for Mapping of DNA Sequences

    • Jozef Sitarčík, Mária Lucká
    Pages 45-52

  8. A Parallel Implementation for Cellular Potts Model with Software Transactional Memory

    • A. J. Tomeu, A. Gámez, A. G. Salguero
    Pages 53-60

  9. Inferring Positive Selection in Large Viral Datasets

    • Hugo López-Fernández, Pedro Duque, Noé Vázquez, Florentino Fdez-Riverola, Miguel Reboiro-Jato, Cristina P. Vieira et al.
    Pages 61-69

  10. Data-Driven Extraction of Quantitative Multi-dimensional Associations of Cardiovascular Drugs and Adverse Drug Reactions

    • Upasana Chutia, Jerry W. Sangma, Vipin Pal, Yogita
    Pages 70-77

  11. An Identical String Motif Finding Algorithm Through Dynamic Programming

    • Abdelmenem S. Elgabry, Tahani M. Allam, Mahmoud M. Fahmy
    Pages 78-86

  12. Parallel Density-Based Downsampling of Cytometry Data

    • Martin Nemček, Tomáš Jarábek, Mária Lucká
    Pages 87-95

  13. Signaling Transduction Networks in Choroidal Melanoma: A Symbolic Model Approach

    • Beatriz Santos-Buitrago, Emiliano Hernández-Galilea
    Pages 96-104

  14. Predicting Promoters in Phage Genomes Using Machine Learning Models

    • Marta Sampaio, Miguel Rocha, Hugo Oliveira, Oscar Dias
    Pages 105-112

  15. Detection and Characterization of Local Inverted Repeats Regularities

    • Carlos A. C. Bastos, Vera Afreixo, João M. O. S. Rodrigues, Armando J. Pinho
    Pages 113-120

  16. An Efficient and User-Friendly Implementation of the Founder Analysis Methodology

    • Daniel Vieira, Mafalda Almeida, Martin B. Richards, Pedro Soares
    Pages 121-128

  17. Visualization of Similar Primer and Adapter Sequences in Assembled Archaeal Genomes

    • Diogo Pratas, Morteza Hosseini, Armando J. Pinho
    Pages 129-136

  18. GeCo2: An Optimized Tool for Lossless Compression and Analysis of DNA Sequences

    • Diogo Pratas, Morteza Hosseini, Armando J. Pinho
    Pages 137-145

  19. Troppo - A Python Framework for the Reconstruction of Context-Specific Metabolic Models

    • Jorge Ferreira, Vítor Vieira, Jorge Gomes, Sara Correia, Miguel Rocha
    Pages 146-153

  20. Deterministic Classifiers Accuracy Optimization for Cancer Microarray Data

    • Vânia Rodrigues, Sérgio Deusdado
    Pages 154-163
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Other volumes

  1. Practical Applications of Computational Biology and Bioinformatics, 13th International Conference

Editors and Affiliations

  • Edificio Politécnico, Escuela Superior de Ingeniería Informática,Campus Universitario As Lagoas , Ourense, Spain

    Florentino Fdez-Riverola

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

    Miguel Rocha

  • Faculty of Bioengineering and Technology, Universiti Malaysia Kelantan, Kelantan, Malaysia

    Mohd Saberi Mohamad

  • Department of Computer Science and Software Engineering Leader, Data Science Research Group, College of Information Technology (CIT) United Arab Emirates University (UAEU), Al Ain, United Arab Emirates

    Nazar Zaki

  • IBSAL/BISITE Research Group, University of Salamanca, Salamanca, Spain

    José A. Castellanos-Garzón

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