
Practical Applications of Computational Biology and Bioinformatics, 12th International Conference
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
This book introduces the latest international research in the fields of bioinformatics and computational biology. It includes various studies in the area of machine learning in bioinformatics, systems biology, omics data analysis and mining, biomedical applications and sequences, which were selected by an international committee and presented at the 12th International Conference on Practical Applications of Computational Biology & Bioinformatics held in Toledo in June 2018.
More details
Other editions
Additional editions

Content
- Intro
- Preface
- Organization
- General Co-chairs
- Program Committee
- PACBB 2018 Sponsors
- Contents
- A Hybrid of Simple Constrained Artificial Bee Colony Algorithm and Flux Balance Analysis for Enhancing Lactate and Succinate in Escherichia Coli
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Dataset
- 2.2 A Hybrid of Simple Constrained Artificial Bee Colony Algorithm and Flux Balance Analysis
- 3 Results and Discussion
- 4 Conclusion
- Acknowledgement
- References
- Parameter Estimation of Essential Amino Acids in Arabidopsis thaliana Using Hybrid of Bees Algorithm and Harmony Search
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Datasets and Experimental Setup
- 2.2 A Hybrid Bees Algorithm and Harmony Search (BAHS)
- 2.2.1 Initiate Population with Random Solutions
- 2.2.2 Neighbourhood Search
- 2.2.3 Initiate Harmony Memory
- 2.2.4 Generate New Harmony
- 2.2.5 Update HM
- 2.2.6 Termination
- 3 Results and Discussion
- 4 Conclusion
- Acknowledgements
- References
- In Silico Modeling and Simulation Approach for Apoptosis Caspase Pathways
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 The in Silico Modeling and Simulation of Cellular Signal Transduction
- 2.2 The Caspase Signaling Model
- 3 Results and Discussion
- 3.1 From Modeling to Simulation of Caspase Signaling Pathways
- 3.2 In Silico Studies of the Caspases Signaling Pathway
- 4 Conclusions
- References
- Molecular Dynamic Simulations Suggest that P152R Mutation Within MeCP2 Can Lead to Higher DNA Binding Affinity and Loss of Selective Binding to Methylated DNA
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Initial Complex Structure and PDB Editing
- 2.2 Force Field Parameters and Partial Atomic Charges
- 2.3 MD Preparation and Analysis
- 3 Results
- 3.1 Structural Fit
- 3.2 Contact Surface
- 3.3 Binding Energy
- 4 Conclusions
- Acknowledgments
- References
- Impact of Genealogical Features in Transthyretin Familial Amyloid Polyneuropathy Age of Onset Prediction
- 1 Introduction
- 2 Regression Algorithms
- 2.1 Regression Algorithms (State of the Art Approaches)
- 2.2 Methods Which Incorporate Feature Selection
- 3 Methodology and Experimental Context
- 3.1 Approach and Regression Algorithms Used
- 3.2 Modeling Schema and Experiments Setup
- 4 Results and Discussion
- 5 Conclusions and Future Work
- References
- Feature Selection and Polydispersity Characterization for QSPR Modelling: Predicting a Tensile Property
- Abstract
- 1 Introduction
- 2 Feature Selection in QSPR for Polymeric Informatics
- 3 Proposed Methodology and Experimental Results
- 4 Conclusions
- Acknowledgments
- References
- Methods of Creating Knowledge Graph by Linking Biological Databases
- 1 Introduction
- 2 Linked Data Projects
- 2.1 Bio2RDF
- 2.2 Linked Life Data (LLD)
- 2.3 Linking Open Drug Data (LODD)
- 2.4 The Knowledge Base of Biomedicine (KaBOB)
- 2.5 Neurocommons
- 3 Methods of Inferring Relationships in Knowledge Graphs
- 3.1 Observable Features
- 3.2 Latent Features
- 3.3 Markov Random Fields
- 4 Comparison Between Different Approaches
- 5 Conclusion
- References
- QSAR Modelling for Drug Discovery: Predicting the Activity of LRRK2 Inhibitors for Parkinson's Disease Using Cheminformatics Approaches
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 3 Conclusions
- Acknowledgments
- References
- Improving the Use of Deep Convolutional Neural Networks for the Prediction of Molecular Properties
- 1 Introduction
- 2 Deep Learning in Cheminformatics
- 3 Proposed Model
- 4 Experiments
- 4.1 Data
- 4.2 Experimental Design
- 4.3 Implementation
- 4.4 Experimental Results
- 5 Discussion and Conclusion
- References
- An Analysis of Symmetric Words in Human DNA: Adjacent vs Non-adjacent Word Distances
- 1 Introduction
- 2 Methods
- 3 Results and Discussion
- 4 Conclusions
- References
- A Bioinformatics Protocol for Quickly Creating Large-Scale Phylogenetic Trees
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 3 Results and Discussion
- 4 Conclusions
- Acknowledgements
- References
- Deep Learning Analysis of Binding Behavior of Virus Displayed Peptides to AuNPs
- 1 Introduction
- 2 Self-Assembly Experiment
- 3 Binding Pattern Analysis
- 3.1 Deep Learning
- 4 Experiment
- 5 Conclusion and Future Work
- References
- Compression of Amino Acid Sequences
- 1 Introduction
- 2 Method
- 2.1 Context Models
- 2.2 Substitutional Tolerant Context Models
- 2.3 Cooperation
- 2.4 Implementation
- 3 Dataset
- 4 Results
- 5 Conclusions
- References
- NET-ASAR: A Tool for DNA Sequence Search Based on Data Compression
- 1 Introduction
- 2 Method
- 2.1 Description
- 2.2 Implementation
- 3 Results
- 3.1 Synthetic Data
- 3.2 Application to Ancient DNA
- 4 Conclusions
- References
- Can an Integrative SNP Approach Substitute Standard Identification in Comprehensive Case/Control Analyses?
- 1 Background
- 2 Materials and Methods
- 2.1 Data
- 2.2 Advanced Analysis Approach
- 2.3 Novel Integrative Analysis
- 3 Results
- 3.1 Quantitative Results
- 3.2 Runtimes
- 4 Discussion
- 5 Conclusions
- References
- Simple Pattern-only Heuristics Lead to Fast Subgraph Matching Strategies on Very Large Networks
- 1 Introduction
- 2 An Annotated Overview of Subgraph Isomorphism Algorithms
- 3 Results
- 4 Conclusion
- References
- In Silico Predictions for Fucoxanthin Production by the Diatom Phaeodactylum Tricornutum
- Abstract
- 1 Introduction
- 2 Methods
- 3 Results and Discussion
- 4 Conclusions
- Acknowledgements
- References
- EvoPPI: A Web Application to Compare Protein-Protein Interactions (PPIs) from Different Databases and Species
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 3 Results and Discussion
- 4 Conclusions
- Acknowledgements
- References
- A Review on Metabolomics Data Analysis for Cancer Applications
- 1 Introduction
- 2 Univariate Analysis
- 3 Unsupervised Multivariate Analysis
- 4 Supervised Multivariate Analysis
- 5 Case Studies
- 6 Conclusions
- References
- A Framework for the Automatic Combination and Evaluation of Gene Selection Methods
- 1 Introduction
- 2 Related Work
- 3 Proposed Framework
- 4 Experiments
- 5 Discussion
- 6 Conclusion
- References
- Parallel Cellular Automaton Tumor Growth Model
- 1 Introduction
- 2 Tumor Growth Model
- 2.1 Seams Adjustment During Simulation
- 3 Model Implementations and Measurements
- 4 Conclusion and Future Work
- References
- MOSCA: An Automated Pipeline for Integrated Metagenomics and Metatranscriptomics Data Analysis
- 1 Introduction
- 2 Methods
- 2.1 Installation, Development and Overview of the Pipeline
- 2.2 Simulation of Metagenomics and Metatranscriptomics Datasets for Validation
- 3 Results and Discussion
- 4 Conclusions and Future Perspectives
- References
- Metabolite Integration Pipeline for the Improvement of Human Metabolic Models
- 1 Introduction
- 2 Materials and Methods
- 3 Results and Discussion
- 4 Conclusions and Future Work
- References
- A Genetic Programming Approach Applied to Feature Selection from Medical Data
- 1 Introduction
- 2 An Approach for Rule Induction
- 2.1 Fitness Functions
- 2.2 Genetic Operators
- 3 Results on Clinical Data
- 3.1 Assessing Accuracy and Comparing with Other Methods
- 4 Conclusions
- References
- A DNA Sequence Corpus for Compression Benchmark
- 1 Introduction
- 2 The DNA Sequence Corpus
- 3 Compression Benchmark
- 4 Conclusions
- References
- 17a-Ethinylestradiol Analysis of Endo- and Exometabolome of Ulva lactuca (Chlorophyta) by 1H-NMR Spectroscopy and Bioinformatics Tools
- Abstract
- 1 Introduction
- 2 Methods
- 2.1 Experimental Design
- 2.2 Endo- and Exometabolome Extraction
- 2.3 1H-NMR Spectroscopy
- 2.4 Bioinformatic Analysis
- 3 Results and Discussion
- 3.1 Identification of Xenobiotic in Complex Matrices
- 4 Conclusion
- Acknowledgements
- References
- Author Index
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.