Biotechnology: Concepts, Methodologies, Tools, and Applications, 1st Edition

  • Published By:
  • ISBN-10: 152258904X
  • ISBN-13: 9781522589044
  • DDC: 610.285
  • 2183 Pages | eBook
  • Original Copyright 2019 | Published/Released December 2019
  • This publication's content originally published in print form: 2019

  • Price:  Sign in for price



Biotechnology can be defined as the manipulation of biological process, systems, and organisms in the production of various products. With applications in a number of fields such as biomedical, chemical, mechanical, and civil engineering, research on the development of biologically inspired materials is essential to further advancement. This title is a vital reference source for the latest research findings on the application of biotechnology in medicine, engineering, agriculture, food production, and other areas. It also examines the economic impacts of biotechnology use. Highlighting a range of topics such as pharmacogenomics, biomedical engineering, and bioinformatics, this multi-volume book is ideally designed for engineers, pharmacists, medical professionals, practitioners, academicians, and researchers interested in the applications of biotechnology.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Associate Editors.
Editorial Advisory Board.
List of Contributors.
Table of Contents.
1: Fundamental Concepts and Theories.
2: Role of Biotechnology in Bioremediation.
3: Institutions as Enablers of Science-Based Industries: The Case of Biotechnology in Mexico.
4: Bioinformatics: The Convergence Between Biotechnology and ITC Impacts on the Productive Sector.
5: Bioinformatics Database Resources.
6: An Overview of Biological Data Mining.
7: Development and Design Methodologies.
8: Application of Uncertainty Models in Bioinformatics.
9: Protein Structure Prediction.
10: Bioinformatics as Applied to Medicine: Challenges Faced Moving from Big Data to Smart Data to Wise Data.
11: Subspace Clustering of DNA Microarray Data: Theory, Evaluation, and Applications.
12: Inference of Gene Regulatory Networks by Topological Prior Information and Data Integration.
13: Complex Biological Data Mining and Knowledge Discovery.
14: Cloud-Based Computing Architectures for Solving Hot Issues in Structural Bioinformatics.
15: A Web Portal for Rice Crop Improvements.
16: Transcriptomics to Metabolomics: A Network Perspective for Big Data.
17: Enzyme Function Classification: Reviews, Approaches, and Trends.
18: Domain-Based Approaches to Prediction and Analysis of Protein-Protein Interactions.
19: Accelerating Large-Scale Genome-Wide Association Studies with Graphics Processors.
20: Structural Intervention and External Control for Markovian Regulatory Network Models.
21: Agricultural Waste Management for Bioethanol Production.
22: Hybrid Wrapper/Filter Gene Selection Using an Ensemble of Classifiers and PSO Algorithm.