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Practical Applications of Computational Biology & Bioinformatics, 15th International Conference (PACBB 2021)

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Miguel Rocha

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

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  2. Florentino Fdez-Riverola

    1. Superior de Ingeniería Informática, Universidade de Vigo, Escuela, Ourense, Spain

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  3. Mohd Saberi Mohamad

    1. Department of Genetics and Genomics, United Arab Emirates University, Abu Dhabi, United Arab Emirates

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  4. Roberto Casado-Vara

    1. BISITE, Digital Innovation Hub, University of Salamanca, Salamanca, Spain

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  • Presents latest research on practical applications of computational biology & bioinformatics
  • Exhibits results of 15th International Conference on Practical Applications of Computational Biology & Bioinformatics
  • Discusses applications of computational intelligence with an interdisciplinary character

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 325)

Included in the following conference series:

Conference proceedings info: PACBB 2021.

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Table of contents (17 papers)

  1. Front Matter

    Pages i-xii
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  2. Computational Methods for the Identification of Genetic Variants in Complex Diseases

    • Débora Antunes, Daniel Martins, Fernanda Correia, Miguel Rocha, Joel P. Arrais
    Pages 1-10

  3. Using Reduced Amino-Acid Alphabets and Simulated Annealing to Identify Antimicrobial Peptides

    • John Healy, Michela Caprani, Orla Slattery, Joan O’Keeffe
    Pages 11-21

  4. Acufenometry in the Self-management of Tinnitus: A Revised Interface to Improve the User Experience

    • Pierpaolo Vittorini, Pablo Chamoso, Fernando De la Prieta
    Pages 22-30

  5. The pegi3s Bioinformatics Docker Images Project

    • Hugo López-Fernández, Pedro Ferreira, Miguel Reboiro-Jato, Cristina P. Vieira, Jorge Vieira
    Pages 31-40

  6. On the Reproducibility of MiRNA-Seq Differential Expression Analyses in Neuropsychiatric Diseases

    • Daniel Pérez-Rodríguez, Hugo López-Fernández, Roberto C. Agís-Balboa
    Pages 41-51

  7. Computational Tools for the Analysis of 2D-Nuclear Magnetic Resonance Data

    • Bruno Pereira, Marcelo Maraschin, Miguel Rocha
    Pages 52-61

  8. Recurrent Deep Neural Networks for Enzyme Functional Annotation

    • Ana Marta Sequeira, Miguel Rocha
    Pages 62-73

  9. Assessing the Impact of Data Set Enrichment to Improve Drug Sensitivity in Cancer

    • Pedro Ferreira, João Ladeiras, Rui Camacho
    Pages 74-84

  10. Deep Neural Network to Curate LTR Retrotransposon Libraries from Plant Genomes

    • Simon Orozco-Arias, Mariana S. Candamil-Cortes, Paula A. Jaimes, Estiven Valencia-Castrillon, Reinel Tabares-Soto, Romain Guyot et al.
    Pages 85-94

  11. A Hybrid of Bees Algorithm and Regulatory On/Off Minimization for Optimizing Lactate Production

    • Mohd Izzat Yong, Mohd Saberi Mohamad, Yee Wen Choon, Weng Howe Chan, Hasyiya Karimah Adli, Khairul Nizar Syazwan WSW et al.
    Pages 95-104

  12. A Study on Burrows-Wheeler Aligner’s Performance Optimization for Ancient DNA Mapping

    • Cindy Sarmento, Sílvia Guimarães, Gülşah Merve Kılınç, Anders Götherström, Ana Elisabete Pires, Catarina Ginja et al.
    Pages 105-114

  13. BioTMPy: A Deep Learning-Based Tool to Classify Biomedical Literature

    • Nuno Alves, Ruben Rodrigues, Miguel Rocha
    Pages 115-125

  14. May Gender Have an Impact on Methylation Profile and Survival Prognosis in Acute Myeloid Leukemia?

    • Agnieszka Cecotka, Lukasz Krol, Grainne O’Brien, Christophe Badie, Joanna Polanska
    Pages 126-135

  15. Towards a Multivariate Analysis of Genome-Scale Metabolic Models Derived from the BiGG Models Database

    • Alexandre Oliveira, Emanuel Cunha, Fernando Cruz, João Capela, João Sequeira, Marta Sampaio et al.
    Pages 136-144

  16. A Comparison of Different Compound Representations for Drug Sensitivity Prediction

    • Delora Baptista, João Correia, Bruno Pereira, Miguel Rocha
    Pages 145-154

  17. Combinatorial Optimization of Succinate Production in Escherichia coli

    • Vítor Pereira, Miguel Rocha
    Pages 155-164

  18. Predicting Adverse Drug Reactions from Drug Functions by Binary Relevance Multi-label Classification and MLSMOTE

    • Pranab Das, Jerry W. Sangma, Vipin Pal, Yogita
    Pages 165-173

  19. Back Matter

    Pages 175-176
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  1. Practical Applications of Computational Biology & Bioinformatics, 15th International Conference (PACBB 2021)

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About this book

This book features novel research papers spanning many different subfields 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. 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. PACBB'21 expects to contribute to this effort by encouraging a successful collaboration of researchers in different areas related to bioinformatics.  The PACBB'21 technical program included 17 papers covering many different subfields in bioinformatics and computational biology. Therefore, this conference, held in Salamanca (Spain), definitely promotes the collaboration of scientists from different research groups and with different backgrounds (computer scientists, mathematicians, biologists) to reach breakthrough solutions for these challenges.


Editors and Affiliations

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

    Miguel Rocha

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

    Florentino Fdez-Riverola

  • Department of Genetics and Genomics, United Arab Emirates University, Abu Dhabi, United Arab Emirates

    Mohd Saberi Mohamad

  • BISITE, Digital Innovation Hub, University of Salamanca, Salamanca, Spain

    Roberto Casado-Vara

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