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Practical Applications of Computational Biology and Bioinformatics 13th edition by Florentino Fdez Riverola, Miguel Rocha, Mohd Saberi Mohamad, Nazar Zaki, José Castellanos Garzón 3030238733 9783030238735

Name: Practical Applications of Computational Biology and Bioinformatics 13th edition by Florentino Fdez Riverola, Miguel Rocha, Mohd Saberi Mohamad, Nazar Zaki, José Castellanos Garzón 3030238733 9783030238735
SKU: EB-10489090
Availability: InStock

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Practical Applications of Computational Biology and Bioinformatics, 13th International Conference Florentino Fdez-Riverola Digital Instant Download

Author(s): Florentino Fdez-Riverola, Miguel Rocha, Mohd Saberi Mohamad, Nazar Zaki, José A. Castellanos-Garzón

ISBN(s): 9783030238735, 3030238733

Edition: 1st ed.

File Details: PDF, 11.87 MB

Year: 2020

Language: English

SKU: EB-10489090 Category: Uncategorized Tags: Florentino Fdez-Riverola, José A. Castellanos-Garzón, Miguel Rocha, Mohd Saberi Mohamad, Nazar Zaki

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Practical Applications of Computational Biology and Bioinformatics 13th edition by Florentino Fdez-Riverola, Miguel Rocha, Mohd Saberi Mohamad, Nazar Zaki, José A. Castellanos-Garzón – Ebook PDF Instant Download/Delivery: 3030238733, 9783030238735
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Product details:

ISBN 10: 3030238733

ISBN 13: 9783030238735

Author: Florentino Fdez-Riverola, Miguel Rocha, Mohd Saberi Mohamad, Nazar Zaki, José A. Castellanos-Garzón

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.

Practical Applications of Computational Biology and Bioinformatics 13th Table of contents:

ProtRet: A Web Server for Retrieving Proteins in a Functional Complex
Proposal of a New Bioinformatics Pipeline for Metataxonomics in Precision Medicine
Systems Toxicology Approach to Unravel Early Indicators of Squamous Cell Carcinoma Rate in Rat Nasal Epithelium Induced by Formaldehyde Exposure
Moment Vector Encoding of Protein Sequences for Supervised Classification
A Hybrid of Particle Swarm Optimization and Minimization of Metabolic Adjustment for Ethanol Production of Escherichia Coli
Cache-Efficient FM-Index Variants for Mapping of DNA Sequences
A Parallel Implementation for Cellular Potts Model with Software Transactional Memory
Inferring Positive Selection in Large Viral Datasets
Data-Driven Extraction of Quantitative Multi-dimensional Associations of Cardiovascular Drugs and Adverse Drug Reactions
An Identical String Motif Finding Algorithm Through Dynamic Programming
Parallel Density-Based Downsampling of Cytometry Data
Signaling Transduction Networks in Choroidal Melanoma: A Symbolic Model Approach
Predicting Promoters in Phage Genomes Using Machine Learning Models
Detection and Characterization of Local Inverted Repeats Regularities
An Efficient and User-Friendly Implementation of the Founder Analysis Methodology
Visualization of Similar Primer and Adapter Sequences in Assembled Archaeal Genomes
GeCo2: An Optimized Tool for Lossless Compression and Analysis of DNA Sequences
Troppo – A Python Framework for the Reconstruction of Context-Specific Metabolic Models
Deterministic Classifiers Accuracy Optimization for Cancer Microarray Data
Artificial Intelligence in Biological Activity Prediction
Towards the Reconstruction of Integrated Genome-Scale Models of Metabolism and Gene Expression

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Tags: Practical Applications, Computational Biology, Bioinformatics, Florentino Fdez Riverola, Miguel Rocha, Mohd Saberi Mohamad, Nazar Zaki, José Castellanos Garzón