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  • Conference proceedings
  • © 2020

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

  • 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

Conference proceedings info: PACBB 2019.

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Table of contents (21 papers)

  1. Front Matter

    Pages i-xv
  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. Moment Vector Encoding of Protein Sequences for Supervised Classification

    • Haneen Altartouri, Tobias Glasmachers
    Pages 25-35
  5. 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
  6. Cache-Efficient FM-Index Variants for Mapping of DNA Sequences

    • Jozef Sitarčík, Mária Lucká
    Pages 45-52
  7. 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
  8. An Identical String Motif Finding Algorithm Through Dynamic Programming

    • Abdelmenem S. Elgabry, Tahani M. Allam, Mahmoud M. Fahmy
    Pages 78-86
  9. Parallel Density-Based Downsampling of Cytometry Data

    • Martin Nemček, Tomáš Jarábek, Mária Lucká
    Pages 87-95
  10. Signaling Transduction Networks in Choroidal Melanoma: A Symbolic Model Approach

    • Beatriz Santos-Buitrago, Emiliano Hernández-Galilea
    Pages 96-104
  11. Predicting Promoters in Phage Genomes Using Machine Learning Models

    • Marta Sampaio, Miguel Rocha, Hugo Oliveira, Oscar Dias
    Pages 105-112
  12. 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
  13. An Efficient and User-Friendly Implementation of the Founder Analysis Methodology

    • Daniel Vieira, Mafalda Almeida, Martin B. Richards, Pedro Soares
    Pages 121-128
  14. Visualization of Similar Primer and Adapter Sequences in Assembled Archaeal Genomes

    • Diogo Pratas, Morteza Hosseini, Armando J. Pinho
    Pages 129-136
  15. GeCo2: An Optimized Tool for Lossless Compression and Analysis of DNA Sequences

    • Diogo Pratas, Morteza Hosseini, Armando J. Pinho
    Pages 137-145
  16. 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
  17. Deterministic Classifiers Accuracy Optimization for Cancer Microarray Data

    • Vânia Rodrigues, Sérgio Deusdado
    Pages 154-163

Other Volumes

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

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.



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

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access