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Biohydrometallurgical Recycling of Metals from Industrial Wastes

Although many available metal recycling methods are simple and fast, they are also expensive and cause environmental pollution. Biohydrometallurgical processing of metals offers an alternative to overcome these issues, as the use of biological means not only helps to conserve dwindling ore resources but also fulfills the need for the unambiguous need to extract metals in nonpolluting, low-energy, and low-cost way. This book covers biohydrometallurgy and its application in the recovery of metals from secondary sources like wastes. It aims to provide readers with a comprehensive overview of different wastes for metal recovery and biological treatment methods that are both environmentally friendly and economically viable.

Biohythane: Fuel for the Future

This book is a novel attempt at describing the fundamental aspects of and advancements in the field of biohythane production. The comprehensive collection of chapters is based on the fundamentals of heterotrophic hydrogen production and consequent methane production technologies. Emphasis is on the integration of two stages of a hybrid system for maximum gaseous energy generation from organic wastes, thus making the overall process economically viable. Readers get insight into the technological advancements made in the field of biohydrogen and biomethane production and the challenges involved in integrating these two technologies. The book also includes details of the microbiological, biochemical, and bioprocess aspects related to biohythane production, in addition to the applicability of this process, its socioeconomic concerns, and cost energy analysis, supplemented with illustrative diagrams, flowcharts, and comprehensive tables. It will be an ideal vade mecum for advanced undergraduate- and graduate-level students of biotechnology, microbiology, biochemical engineering, chemical engineering, and energy engineering; teachers and researchers in bioenergy, the environment, and biofuel production; and policy makers.

Biohythane: Fuel for the Future

This book is a novel attempt at describing the fundamental aspects of and advancements in the field of biohythane production. The comprehensive collection of chapters is based on the fundamentals of heterotrophic hydrogen production and consequent methane production technologies. Emphasis is on the integration of two stages of a hybrid system for maximum gaseous energy generation from organic wastes, thus making the overall process economically viable. Readers get insight into the technological advancements made in the field of biohydrogen and biomethane production and the challenges involved in integrating these two technologies. The book also includes details of the microbiological, biochemical, and bioprocess aspects related to biohythane production, in addition to the applicability of this process, its socioeconomic concerns, and cost energy analysis, supplemented with illustrative diagrams, flowcharts, and comprehensive tables. It will be an ideal vade mecum for advanced undergraduate- and graduate-level students of biotechnology, microbiology, biochemical engineering, chemical engineering, and energy engineering; teachers and researchers in bioenergy, the environment, and biofuel production; and policy makers.

Bioimage Data Analysis Workflows (Learning Materials in Biosciences)

This Open Access textbook provides students and researchers in the life sciences with essential practical information on how to quantitatively analyze data images. It refrains from focusing on theory, and instead uses practical examples and step-by step protocols to familiarize readers with the most commonly used image processing and analysis platforms such as ImageJ, MatLab and Python. Besides gaining knowhow on algorithm usage, readers will learn how to create an analysis pipeline by scripting language; these skills are important in order to document reproducible image analysis workflows. The textbook is chiefly intended for advanced undergraduates in the life sciences and biomedicine without a theoretical background in data analysis, as well as for postdocs, staff scientists and faculty members who need to perform regular quantitative analyses of microscopy images.

Bioimpedance in Biomedical Applications and Research

This book is based on the best contributions to the advancement of bioimpedance knowledge and use from the Latin American Congress series, CLABIO. Basic bioimpedance facts as well as promising and original contributions to bioimpedance theory and applications are presented, giving the reader stimulating material for reflection, decision making, and further experiments. Contributions come from a diverse international pool of experts and address topics on electrode and skin impedance modelling, tomography, spectroscopy, instrumentation, and clinical applications.

Bioimplants Manufacturing: Fundamentals and Advances (Advances in Manufacturing, Design and Computational Intelligence Techniques)

The text covers fundamentals and technological advancements in processing, post-processing, and surface engineering of bioimplant materials. It further discusses important topics such as the additive manufacturing of bioimplants, the tribological performance of bioimplants, and the hybrid and non-traditional manufacturing of bioimplants materials. The text also presents the latest advancements in intelligent bioimplant manufacturing using artificial intelligence and machine learning.This book: Offers an in-depth understanding of the fundamentals, types, materials and applications of bioimplants Highlights the effect of processing on microstructure, biocompatibility, and mechanical behavior of bioimplants Investigates the surface modification methods and tribological performance of bioimplants Discusses additive manufacturing and non-traditional manufacturing techniques such as electrical discharge machining and electrochemical machining of bioimplants materials Covers smart technologies such as artificial intelligence and machine learning-based intelligent implant manufacturing for Industry 4.0 It is primarily written for senior undergraduate and graduate students and academic researchers in the fields of mechanical engineering, biomedical engineering, production engineering, industrial engineering, aerospace engineering, and manufacturing engineering.

Bioimplants Manufacturing: Fundamentals and Advances (Advances in Manufacturing, Design and Computational Intelligence Techniques)

The text covers fundamentals and technological advancements in processing, post-processing, and surface engineering of bioimplant materials. It further discusses important topics such as the additive manufacturing of bioimplants, the tribological performance of bioimplants, and the hybrid and non-traditional manufacturing of bioimplants materials. The text also presents the latest advancements in intelligent bioimplant manufacturing using artificial intelligence and machine learning.This book: Offers an in-depth understanding of the fundamentals, types, materials and applications of bioimplants Highlights the effect of processing on microstructure, biocompatibility, and mechanical behavior of bioimplants Investigates the surface modification methods and tribological performance of bioimplants Discusses additive manufacturing and non-traditional manufacturing techniques such as electrical discharge machining and electrochemical machining of bioimplants materials Covers smart technologies such as artificial intelligence and machine learning-based intelligent implant manufacturing for Industry 4.0 It is primarily written for senior undergraduate and graduate students and academic researchers in the fields of mechanical engineering, biomedical engineering, production engineering, industrial engineering, aerospace engineering, and manufacturing engineering.

Bioinformatic and Statistical Analysis of Microbiome Data: From Raw Sequences to Advanced Modeling with QIIME 2 and R

This unique book addresses the bioinformatic and statistical modelling and also the analysis of microbiome data using cutting-edge QIIME 2 and R software. It covers core analysis topics in both bioinformatics and statistics, which provides a complete workflow for microbiome data analysis: from raw sequencing reads to community analysis and statistical hypothesis testing. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of QIIME 2 and R for data analysis step-by-step. The data as well as QIIME 2 and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter so that these new methods can be readily applied in their own research. Bioinformatic and Statistical Analysis of Microbiome Data is an ideal book for advanced graduate students and researchers in the clinical, biomedical, agricultural, and environmental fields, as well as those studying bioinformatics, statistics, and big data analysis.

Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments (Chapman & Hall/CRC Computational Biology Series)

Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments provides the basics of bioinformatics and in-depth coverage of NCBI databases, sequence alignment, and NCBI Sequence Local Alignment Search Tool (BLAST). As bioinformatics has become essential for life sciences, the book has been written specifically to address the need of a large audience including undergraduates, graduates, researchers, healthcare professionals, and bioinformatics professors who need to use the NCBI databases, retrieve data from them, and use BLAST to find evolutionarily related sequences, sequence annotation, construction of phylogenetic tree, and the conservative domain of a protein, to name just a few. Technical details of alignment algorithms are explained with a minimum use of mathematical formulas and with graphical illustrations. Key Features Provides readers with the most-used bioinformatics knowledge of bioinformatics databases and alignments including both theory and application via illustrations and worked examples. Discusses the use of Windows Command Prompt, Linux shell, R, and Python for both Entrez databases and BLAST. The companion website contains tutorials, R and Python codes, instructor materials including slides, exercises, and problems for students. This is the ideal textbook for bioinformatics courses taken by students of life sciences and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research.

Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments (Chapman & Hall/CRC Computational Biology Series)

Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments provides the basics of bioinformatics and in-depth coverage of NCBI databases, sequence alignment, and NCBI Sequence Local Alignment Search Tool (BLAST). As bioinformatics has become essential for life sciences, the book has been written specifically to address the need of a large audience including undergraduates, graduates, researchers, healthcare professionals, and bioinformatics professors who need to use the NCBI databases, retrieve data from them, and use BLAST to find evolutionarily related sequences, sequence annotation, construction of phylogenetic tree, and the conservative domain of a protein, to name just a few. Technical details of alignment algorithms are explained with a minimum use of mathematical formulas and with graphical illustrations. Key Features Provides readers with the most-used bioinformatics knowledge of bioinformatics databases and alignments including both theory and application via illustrations and worked examples. Discusses the use of Windows Command Prompt, Linux shell, R, and Python for both Entrez databases and BLAST. The companion website contains tutorials, R and Python codes, instructor materials including slides, exercises, and problems for students. This is the ideal textbook for bioinformatics courses taken by students of life sciences and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research.

Bioinformatics: A Concept-Based Introduction

Bioinformatics is an evolving field that is gaining popularity due to genomics, proteomics and other high-throughput biological methods. The function of bioinformatic scientists includes biological data storage, retrieval and in silico analysis of the results from large-scale experiments. This requires a grasp of knowledge mining algorithms, a thorough understanding of biological knowledge base, and the logical relationship of entities that describe a process or the system. Bioinformatics researchers are required to be trained in multidisciplinary fields of biology, mathematics and computer science. Currently the requirements are satisfied by ad hoc researchers who have specific skills in biology or mathematics/computer science. But the learning curve is steep and the time required to communicate using domain specific terms is becoming a major bottle neck in scientific productivity. This workbook provides hands-on experience which has been lacking for qualified bioinformatics researchers.

Bioinformatics and Biomedical Engineering: Proceedings of the 9th International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2015), Shanghai, China, 18-20 September 2015

The 9th International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2015) was held on September 18-20, 2015, Shanghai, China. This proceedings volume assembles papers from various professionals engaged in the fields of Biomedical Engineering, Bioinformatics and Computational Biology. The conference had special sessio

Bioinformatics and Biomedical Engineering: 11th International Conference, IWBBIO 2024, Meloneras, Gran Canaria, Spain, July 15–17, 2024, Proceedings, Part I (Lecture Notes in Computer Science #14848)

This volume constitutes the proceedings of the 11th International Work-Conference on IWBBIO 2023, held in Gran Canaria, Spain, during July 15-17, 2022. The 54 full papers were carefully reviewed and selected from 148 submissions. They were organized in the following topical sections: Biomarker Identification, Biomedical Engineering, Biomedical Signal Analysis, E-Health.

Bioinformatics and Biomedical Engineering: 11th International Conference, IWBBIO 2024, Meloneras, Gran Canaria, Spain, July 15–17, 2024, Proceedings, Part II (Lecture Notes in Computer Science #14849)

This volume constitutes the proceedings of the 11th International Work-Conference on IWBBIO 2023, held in Meloneras, Gran Canaria, Spain, during July 15-17, 2022. The 54 full papers were carefully reviewed and selected from 148 submissions. They were organized in the following topical sections: Healthcare and Diseases, Machine Learning in Bioinformatics, New Advances in Deep Learning in Bioinformatics and Biomedicine, Novel Methodologies and Applications in Bioinformatics and Biomedicine.

Bioinformatics and Biomedical Engineering: Third International Conference, Iwbbio 2015, Granada, Spain, April 15-17, 2015. Proceedings, Part I (Lecture Notes In Computer Science Ser. #9043)

Bioinformatics and Biomedical Engineering: 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12–14, 2023, Proceedings, Part II (Lecture Notes in Computer Science #13920)

This volume constitutes the proceedings of the 10th International Work-Conference on IWBBIO 2023, held in Meloneras, Gran Canaria, Spain, during July 12-14, 2022. The total of 79 papers presented in the proceedings, was carefully reviewed and selected from 209 submissions. The papers cove the latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, biology, bioinformatics, and biomedicine.

Bioinformatics and Biomedical Engineering: 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12–14, 2023, Proceedings, Part I (Lecture Notes in Computer Science #13919)

This volume constitutes the proceedings of the 10th International Work-Conference on IWBBIO 2023, held in Meloneras, Gran Canaria, Spain, during July 12-14, 2022. The total of 79 papers presented in the proceedings, was carefully reviewed and selected from 209 submissions. The papers cove the latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, biology, bioinformatics, and biomedicine.

Bioinformatics and RNA: A Practice-Based Approach (Innovations in Big Data and Machine Learning)

This book offers a unique balance between a basic introductory knowledge of bioinformatics and a detailed study of algorithmic techniques. Bioinformatics and RNA: A Practice-Based Approach is a complete guide on the fundamental concepts, applications, algorithms, protocols, new trends, challenges, and research results in the area of bioinformatics and RNA.The book offers a broad introduction to the explosively growing new discipline of bioinformatics. It covers theoretical topics along with computational algorithms. It explores RNA bioinformatics, which contribute to therapeutics and drug discovery. Implementation of algorithms in a DotNet Framework with code and complete insight on the state-of-the-art and recent advancements are presented in detail. The book targets both novice readers as well as practitioners in the field. FEATURES Offers a broad introduction to the explosively growing new discipline of bioinformatics Covers theoretical topics and computational algorithms Explores RNA bioinformatics to unleash the potential from therapeutics to drug discovery Discusses implementation of algorithms in DotNet Frameworks with code Presents insights into the state of the art and recent advancements in bioinformatics The book is useful to undergraduate students with engineering, science, mathematics, or biology backgrounds. Researchers will be equally interested.

Bioinformatics and RNA: A Practice-Based Approach (Innovations in Big Data and Machine Learning)

This book offers a unique balance between a basic introductory knowledge of bioinformatics and a detailed study of algorithmic techniques. Bioinformatics and RNA: A Practice-Based Approach is a complete guide on the fundamental concepts, applications, algorithms, protocols, new trends, challenges, and research results in the area of bioinformatics and RNA.The book offers a broad introduction to the explosively growing new discipline of bioinformatics. It covers theoretical topics along with computational algorithms. It explores RNA bioinformatics, which contribute to therapeutics and drug discovery. Implementation of algorithms in a DotNet Framework with code and complete insight on the state-of-the-art and recent advancements are presented in detail. The book targets both novice readers as well as practitioners in the field. FEATURES Offers a broad introduction to the explosively growing new discipline of bioinformatics Covers theoretical topics and computational algorithms Explores RNA bioinformatics to unleash the potential from therapeutics to drug discovery Discusses implementation of algorithms in DotNet Frameworks with code Presents insights into the state of the art and recent advancements in bioinformatics The book is useful to undergraduate students with engineering, science, mathematics, or biology backgrounds. Researchers will be equally interested.

Bioinformatics for agriculture: High-throughput approaches

This book illustrates the importance and significance of bioinformatics in the field of agriculture. It first introduces the basic concepts of bioinformatics, such as homologous sequence and gene function analyses, determination of protein structures, and discusses machine learning applications for an in-depth understanding of the desired genes and proteins based on commonly used bioinformatics software and tools, e.g. BLAST, molecular modelling, molecular-docking and simulations, protein-protein and domain-domain interactions. The book also describes recent advances in the high-throughput analysis of whole genome and transcriptome using next-generation sequencing platforms, and functional proteome studies. It also examines the role of computational biology in understanding and improving the nutrient quality and yield of crops. Lastly, the book explores a comprehensive list of applications of bioinformatics to improve plant yield, biomass, and health, and the challenges involved.

Bioinformatics in Rice Research: Theories and Techniques

This book provides an up-to-date review of classic and advanced bioinformatics approaches and their utility in rice research. It summarizes databases and tools for analyzing DNA, proteins and gene expression profiles, mapping genetic variations, annotation of protein and RNA molecules, phylogenetic analysis, and pathway enrichment.In addition, it presents high-throughput technologies that are widely used to provide deep insights into the genetic architecture of important traits in the rice genome. The book subsequently discusses techniques for identifying RNA-protein, DNA-protein interactions, and molecular markers, including SNP and microsatellites, in the contexts of rice breeding and genetics.Lastly, it explores various tools that are used to identify and characterize non-coding RNA in rice and their potential role in rice research.

Bioinformatics: An Introduction (Computational Biology #3)

An Introduction to Bioinformatics is intended to be a complete study companion for the advanced undergraduate or beginning graduate student. It is self-contained in the sense that whatever the starting point may be, the reader will gain insight into bioinformatics. Underlying the work is the belief that bioinformatics is a kind of metaphoric lens through which the entire field of biology can be brought into focus, admittedly as yet imperfect, and understood in a unified way. Reflecting the highly incomplete present state of the field, emphasis is placed on the underlying fundamentals and acquisitions of a broad and comprehensive grasp of the field as a whole. Bioinformatics is interpreted as the application of information science to biology, in which it plays a fundamental and all-pervasive role. This interpretation enables a remarkably unified view of the entire field of biology to be taken and hence offers an excellent entry point into the life sciences for those for whom biology is unfamiliar.

Bioinformatics of Non Small Cell Lung Cancer and the Ras Proto-Oncogene (SpringerBriefs in Applied Sciences and Technology)

Cancer is initiated by activation of oncogenes or inactivation of tumor suppressor genes. Mutations in the K-ras proto-oncogene are responsible for 10–30% of adenocarcinomas. Clinical Findings point to a wide variety of other cancers contributing to lung cancer incidence. Such a scenario makes identification of lung cancer difficult and thus identifying its mechanisms can contribute to the society. Identifying unique conserved patterns common to contributing proto-oncogenes may further be a boon to Pharmacogenomics and pharmacoinformatics. This calls for ab initio/de novo drug discovery that in turn will require a comprehensive in silico approach of Sequence, Domain, Phylogenetic and Structural analysis of the receptors, ligand screening and optimization and detailed Docking studies.This brief involves extensive role of the RAS subfamily that includes a set of proteins, which cause an over expression of cancer-causing genes like M-ras and initiate tumour formation in lungs. SNP Studies and Structure based drug discovery will also be undertaken.

Bioinformatics - A Student's Companion

This manual offers a stand-alone reading companion, unique in simplifying the practical components of Bioinformatics in a unique and user-friendly manner. It covers the practical component of syllabi used at most leading universities and discusses the most extensively used tools and methodologies in Bioinformatics. Research in the biological sciences has made tremendous strides in recent years due in part to the increased automation in data generation. At the same time, storing, managing and interpreting huge volumes of data has become one of the most challenging tasks for scientists. These two aspects have ultimately necessitated the application of computers, giving rise to a highly interdisciplinary discipline–Bioinformatics. Despite the richness of bioinformatics resources and methods, the exposure of life sciences undergraduates and postgraduates to bioinformatics is extremely limited. Though the internet offers various tools for free, and provides guides for using them, it fails to help users interpret the processed data. Moreover, most sites fail to update their help pages to accommodate software upgrades. Though the market is flooded with books discussing the theoretical concepts in Bioinformatics, a manual of this kind is rarely found. The content developed to meet the needs of readers from diverse background and to incorporate the syllabi of undergraduate and postgraduate courses at various universities.

BioInformation Processing: A Primer on Computational Cognitive Science (Cognitive Science and Technology)

This book shows how mathematics, computer science and science can be usefully and seamlessly intertwined. It begins with a general model of cognitive processes in a network of computational nodes, such as neurons, using a variety of tools from mathematics, computational science and neurobiology. It then moves on to solve the diffusion model from a low-level random walk point of view. It also demonstrates how this idea can be used in a new approach to solving the cable equation, in order to better understand the neural computation approximations. It introduces specialized data for emotional content, which allows a brain model to be built using MatLab tools, and also highlights a simple model of cognitive dysfunction.