Showing posts with label Bioinformatics. Show all posts
Showing posts with label Bioinformatics. Show all posts

SCIL - 150/2 | Vaccine Design: Methods and Protocols, Volume 2: Vaccines for Veterinary Diseases by Sunil Thomas

This text provides a practical guide providing step-by-step protocol to design and develop vaccines.
Chapters detail protocols for developing novel vaccines against infectious bacteria, viruses, fungi, and parasites for humans and animals.

Volume 2: Vaccines for Veterinary Diseases includes vaccines for farm animals and fishes, vaccine vectors and production, vaccine delivery systems, vaccine bioinformatics, vaccine regulation and intellectual property.

Written for the Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

Authoritative and practical, Vaccine Design: Methods and Protocols, Volume 2: Vaccines for Veterinary Diseases aims to ensure successful results in the further study of this vital field.

SCIL - 150/2

SC - 1647 | Non-coding RNAs in Complex Diseases: A Bioinformatics Perspective

This book offers an in-depth and comprehensive review on current understanding of regulatory ncRNAs in complex diseases from a view of bioinformatics.
It conveys state-of-the-art bioinformatics tools and methods for ncRNAs from computational detection, functional prediction, to their roles in diseases.

Computational methods used to investigate uncharacterised ncRNAs in diseases are mainly summarized in seven aspects:

DNA variation of ncRNAs in diseases, prioritization of disease-related ncRNAs, dysregulation epigenetic factors that regulate ncRNA misexpression (DNA methylation and histone-modification), complex crosstalk across ncRNAs, ncRNAs acted as competing regulators to mediate the expression of protein-coding genes, non-coding RNAs mediated risk pathways,and their contributions to drug target predictions.
The generally used data resources of ncRNAs are also listed in the end.

This book provides important information on the current progress in the fast-moving fields of bioinformatics for regulatory ncRNAs. It provides a timely and useful reference for computational biologists, specifically with RNA interests, and other related areas.

By: Xia Li, Juan Xu, Yun Xiao, Shangwei Ning, Yunpeng Zhang

Prof. Xia Li is a Professor and the Dean of College of Bioinformatics Science and Technology, Harbin Medical University, China. Dr. Yun Xiao, Dr. Juan Xu, Dr. Shangwei Ning and Dr. Yunpeng Zhang are from College of Bioinformatics Science and Technology, Harbin Medical University, China.

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SC - 1634 | Long Non-Coding RNAs: Methods and Protocols by Yi Feng, Lin Zhang

This volume assembles a broad spectrum of methods used in long non-coding RNAs (lncRNA) research, ranging from computational annotation of lncRNA genes to molecular and cellular analyses of the function of individual lncRNA.

Long Non-Coding RNAs: Methods and Protocols also discusses methods used to study circular RNAs and RNA splicing, as well as influential findings on lncRNA in human diseases.
Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

Thorough and cutting-edge, Long Non-Coding RNAs: Methods and Protocols is a must-have for molecular biologists, cell and developmental biologists, specialists who conduct disease-oriented research, and bioinformatics experts who seek a better understanding on lncRNA expression and function by computational analysis of the massive sequencing data that are rapidly accumulating in recent years.

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SCIL - 138 | New and Future Developments in Microbial Biotechnology and Bioengineering. Aspergillus System Properties and Applications

New and Future Developments in Microbial Biotechnology and Bioengineering: Aspergillus System Properties and Applications provides information on emerging issues related to recent advancements in aspergillus research and its applications in bioprocess technology, chemical engineering, genome biology, molecular taxonomy, secondary and metabolite production, industrial process and biofuels/bioenergy research, and alternative fuel development. 

The book covers the various novel enzymes secreted by these fungi and their specific use in the food, textile, pulp and paper, biocellulosic ethanol production, and other industries.

The book describes research and experimentation on aspergillus activity and directly connects them to their use in bioprocess technology, chemical engineering, bioremediation process, secondary metabolite production, pharmaceutical processes, protein production, industrial process, biofuels/bioenergy research, and alternative fuel development. 

Readers will find this book to be an indispensable resource for biotechnologists, biochemical engineers, biochemists, microbiologists, bioinformatics researchers, and other biologists who are interested in learning about the potential applications of these fungi.

- Compiles available, up-to-date information on recent developments made in the study of aspergillus system properties
- Contains global content from pioneering international authors
- Presents current research efforts and links them to various applications, including uses in foods, textiles, pulp and paper, and in biocellulosic ethanol production
- Provides an indispensable resource for biologists who are interested in learning about the potential applications of the fungi aspergillus

By: Vijai G. Gupta

SCIL - 138


SC - 1624 | Modern Industrial Microbiology and Biotechnology by Nduka Okafor, Benedict C. Okeke

The field of industrial microbiology involves a thorough knowledge of the microbial physiology behind the processes in the large-scale, profit-oriented production of microbe-related goods which are the subject of the field.

In recent times a paradigm shift has occurred, and a molecular understanding of the various processes by which plants, animals and microorganisms are manipulated is now central to industrial microbiology. Thus the various applications of industrial microbiology are covered broadly, with emphasis on the physiological and genomic principles behind these applications. 

Relevance of the new elements such as bioinformatics, genomics, proteomics, site-directed mutation and metabolic engineering, which have necessitated the paradigm shift in industrial microbiology are discussed.

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SC - 1622 | Food molecular microbiology by Spiros Paramithiotis, Jayanta Kumar Patra

With the advances in the field of molecular biology, new tools make it possible to conduct in-depth studies in food microbial communities from a molecular perspective.

Information from genomic, transcriptomic, proteomic and metabolomic studies can be integrated through bioinformatic applications, thereby improving our understanding of the interactions between biotic and abiotic factors and concomitantly the physiology of starter cultures, spoilage and pathogenic microbiota. Improvements in the speed, accuracy and reliability of food quality and safety assessment have made the foundation stronger for future developments including the exploitation of gene networks and applications of nanotechnology and systems biology.

This book reviews all these developments, provides an integrated view of the subject and helps in identifying areas of future development.

SC - 1622

SC - 1464 | Bioinformatics for Beginners Genes, Genomes, Molecular Evolution, Databases and Analytical Tools by Supratim Choudhuri

Bioinformatics for Beginners: Genes, Genomes, Molecular Evolution, Databases and Analytical Tools provides a coherent and friendly treatment of bioinformatics for any student or scientist within biology who has not routinely performed bioinformatic analysis.

The book discusses the relevant principles needed to understand the theoretical underpinnings of bioinformatic analysis and demonstrates, with examples, targeted analysis using freely available web-based software and publicly available databases. Eschewing non-essential information, the work focuses on principles and hands-on analysis, also pointing to further study options. 

Avoids non-essential coverage, yet fully describes the field for beginners 

Explains the molecular basis of evolution to place bioinformatic analysis in biological context 

Provides useful links to the vast resource of publicly available bioinformatic databases and analysis tools

Contains over 100 figures that aid in concept discovery and illustration

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SC - 1414 | Computational Methods to Study the Structure and Dynamics of Biomolecules and Biomolecular Processes: From Bioinformatics to Molecular Quantum Mechanics

This book provides a comprehensive overview of modern computer-based techniques for analyzing the structure, properties and dynamics of biomolecules and biomolecular processes. It is organized in four main parts; the first one deals with methodology of molecular simulations; the second one with applications of molecular simulations; the third one introduces bioinformatics methods and the use of experimental information in molecular simulations; the last part reports on selected applications of molecular quantum mechanics. This second edition has been thoroughly revised and updated to include the latest progresses made in the respective field of research.

 

ID:  SC - 1414


SC - 1410 | Python for the Life Sciences by Alexander Lancaster, Gordon Webster

Written in a fun, accessible and engaging style, this book will introduce you to the Python language with fully worked examples of Python code drawn from all aspects of life sciences, including bioinformatics, structural biology, developmental biology, and evolutionary biology and ecology.
Using familiar examples designed specifically for life scientists, you'll learn the basics of the language from the very first chapters and progress from there. You'll find out how to use Python to automate lab calculations, search for gene promoter sequences, rotate a molecular bond, build a cellular toggle switch, model animal coat pattern formation, grow a virtual plant, simulate a flu epidemic, or evolve populations.
Python for the Life Sciences provides the tools, confidence and inspiration to start crafting your own Python solutions for the challenges you face in your research. If you are a life scientist interested in learning Python to jump-start your research, this book is for you.

What You'll Learn
• Write Python scripts to automate your lab calculations
• Search for important motifs in genome sequences
• Use object-oriented programming with Python
• Study mining interaction network data for patterns
• Review dynamic modeling of biochemical switches

Who This Book Is For
Life scientists with little or no programming experience, including undergraduate and graduate students, postdoctoral researchers in academia and industry, medical professionals, and teachers/lecturers. 

 

ID:  SC - 1410


SC - 1397 | Algorithms for Next-Generation Sequencing Data - Techniques, Approaches, and Applications by Mourad Elloumi

The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering fundamental insights and technical information specifically on indexing, compression and storage error correction alignment and assembly.

The book will be of value to researchers, practitioners and students engaged with bioinformatics, computer science, mathematics, statistics and life sciences. 


ID:  SC - 1397

SC - 1396 | Algorithms for Next-Generation Sequencing by Wing-Kin Sung

Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before – as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data?

Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource. In addition to offering an in-depth description of the algorithms for processing sequencing data, it also presents useful case studies describing the applications of this technology.

ID:  SC - 1396


SC - 477 | New Frontiers of Biostatistics and Bioinformatics

New Frontiers of Biostatistics and Bioinformatics by Yichuan Zhao (Editor), Ding-Geng Chen (Editor)

This book is comprised of presenations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017.

Featuring twenty-two selected papers from the workshop, this book showcases the most current advances in the field, presenting new methods, theories, and case applications at the frontiers of biostatistics, bioinformatics, and interdisciplinary areas.

Biostatistics and bioinformatics have been playing a key role in statistics and other scientific research fields in recent years. The goal of the 5th Workshop on Biostatistics and Bioinformatics was to stimulate research, foster interaction among researchers in field, and offer opportunities for learning and facilitating research collaborations in the era of big data. The resulting volume offers timely insights for researchers, students, and industry practitioners.

2018 | ISBN: 3319993887 | ID: SC - 477


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