Practical Applications of Computational Biology and Bioinformatics 14th International Conference (PACBB 2020) 1st Edition by Gabriella Panuccio, Miguel Rocha, Florentino FdezRiverola 3030545680 9783030545680

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ISBN-10 :  3030545680 

ISBN-13 :  9783030545680

Author:  Gabriella Panuccio, Miguel Rocha, Florentino FdezRiverola 

This book highlights the latest research on practical applications of computational biology and bioinformatics, and addresses emerging experimental and sequencing techniques that are posing new challenges for bioinformatics and computational biology. Successfully applying these techniques calls for new algorithms and approaches from fields such as statistics, data mining, machine learning, optimization, computer science, and artificial intelligence. In response to these challenges, we have seen the rise of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences.These proceedings include 21 papers covering many different subfields of bioinformatics and computational biology. Focusing on interdisciplinary applications that combine e.g. bioinformatics, chemoinformatics, and system biology, they are intended to promote the collaboration of scientists from different research groups and with different backgrounds (computer scientists, mathematicians, biologists) to reach breakthrough solutions and overcome the challenges outlined above.

Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020) 1st table of contents:

1. Identification of Antimicrobial Peptides from Macroalgae with Machine Learning
2. A Health-Related Study from Food Online Reviews. The Case of Gluten-Free Foods
3. The Activity of Bioinformatics Developers and Users in Stack Overflow
4. ProPythia: A Python Automated Platform for the Classification of Proteins Using Machine Learning
5. Inferences on Mycobacterium Leprae Host Immune Response Escape and Antibiotic Resistance Using Genomic Data and GenomeFastScreen
6. Compi Hub: A Public Repository for Sharing and Discovering Compi Pipelines
7. DeepACPpred: A Novel Hybrid CNN-RNN Architecture for Predicting Anti-Cancer Peptides
8. Preventing Cardiovascular Disease Development Establishing Cardiac Well-Being Indexes
9. Fuzzy Matching for Cellular Signaling Networks in a Choroidal Melanoma Model
10. Towards A More Effective Bidirectional LSTM-Based Learning Model for Human-Bacterium Protein-Protein Interactions
11. Machine Learning for Depression Screening in Online Communities
12. Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS
13. Searching RNA Substructures with Arbitrary Pseudoknots
14. An Application of Ontological Engineering for Design and Specification of Ontocancro
15. Evaluation of the Effect of Cell Parameters on the Number of Microtubule Merotelic Attachments in Metaphase Using a Three-Dimensional Computer Model
16. Reconciliation of Regulatory Data: The Regulatory Networks of Escherichia coli and Bacillus subtilis
17. A Hybrid of Bat Algorithm and Minimization of Metabolic Adjustment for Succinate and Lactate Production
18. Robustness of Pathway Enrichment Analysis to Transcriptome-Wide Gene Expression Platform
19. Hypoglycemia Prevention Using an Embedded Model Control with a Safety Scheme: In-silico Test
20. Bidirectional-Pass Algorithm for Interictal Event Detection
21. Towards the Reconstruction of the Genome-Scale Metabolic Model of Lactobacillus acidophilus La-14

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