Showing results for "Algorithms in Bioinformatics English"
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Algorithms in Bioinformatics
Theory and Implementation
2021
EN
ALGORITHMS IN BIOINFORMATICSExplore a comprehensive and insightful treatment of the practical application of bioinformatic algorithms in a variety of fieldsAlgorithms in Bioinformatics: Theory and Implementation delivers a fulsome treatment of some of the main algorithms used to explain biological functions and relationships. It introduces readers to the art of algorithms in a practical manner which is linked with biological theory...
Algorithms in Bioinformatics
A Practical Introduction
2009
EN
Accessible
Thoroughly Describes Biological Applications, Computational Problems, and Various Algorithmic Solutions Developed from the author's own teaching material, Algorithms in Bioinformatics: A Practical Introduction provides an in-depth introduction to the algorithmic techniques applied in bioinformatics. For each topic, the author clearly details the bi
Algorithms in Bioinformatics
15th International Workshop, WABI 2015, Atlanta, GA, USA, September 10-12, 2015, Proceedings
2015
EN
This book constitutes the refereed proceedings of the 15th International Workshop on Algorithms in Bioinformatics, WABI 2015, held in Atlanta, GA, USA, in September 2015. The 23 full papers presented were carefully reviewed and selected from 56 submissions. The selected papers cover a wide range of topics from networks to phylogenetic studies, sequence and genome analysis, comparative genomics, and RNA structure.
Algorithms in Bioinformatics
16th International Workshop, WABI 2016, Aarhus, Denmark, August 22-24, 2016. Proceedings
2016
EN
This book constitutes the refereed proceedings of the 16th International Workshop on Algorithms in Bioinformatics, WABI 2016, held in Aarhus, Denmark. The 25 full papers together with 2 invited talks presented were carefully reviewed and selected from 54 submissions.The selected papers cover a wide range of topics from networks, tophylogenetic studies, sequence and genome analysis, comparative genomics, and mass spectrometry data analysis.
Introduction to Bioinformatics
Navigating the Intersection of Biology and Computational Science
- Book 2 -
- Introduction to Bioinformatics
2026
EN
Accessible
Bioinformatics is a rapidly evolving field at the crossroads of biology and computational science, where the complexities of genetic and molecular data are unraveled through advanced computational techniques. Introduction to Bioinformatics serves as a comprehensive guide for those venturing into this interdisciplinary domain, providing a thorough overview of how bioinformatics transforms biological research and medical practice.This book begins with foundational concepts, ...
Biotechnology and Bioinformatics
From Gene Editing to Personalized Medicine
- Book 1 -
- Bio and Nano
2026
EN
Accessible
"Biotechnology and Bioinformatics: Fundamentals and Applications" is a comprehensive guide to the cutting-edge technologies and practices that are driving modern science. This book covers the basics of biotechnology and bioinformatics, including their definitions, histories, and applications in various fields.Readers will gain an understanding of the fundamental techniques used in biotechnology, such as genetic engineering, gene editing, PCR, DNA sequencing, and microarray technolo...
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- Biomedical and Life Sciences (R0)
2024
EN
Accessible
The second edition of Advances in Bioinformatics presents the latest developments in bioinformatics in gene discovery, genome analysis, genomics, transcriptomics, proteomics, metabolomics, metabolic flux analysis, drug discovery, and drug repurposing. It includes advancements in the applications of bioinformatics in the analysis of non-coding RNA, next-generation sequencing, genome-scale modelling, high throughput drug screening, precision medicine, automation and artificial intelligence, ...
Pattern Discovery in Bioinformatics
Theory & Algorithms
2007
EN
Accessible
The computational methods of bioinformatics are being used more and more to process the large volume of current biological data. Promoting an understanding of the underlying biology that produces this data, Pattern Discovery in Bioinformatics: Theory and Algorithms provides the tools to study regularities in biological data. Taking a systema
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- Computer Science (R0)
2021
EN
This book presents the latest developments in bioinformatics, highlighting the importance of bioinformatics in genomics, transcriptomics, metabolism and cheminformatics analysis, as well as in drug discovery and development. It covers tools, data mining and analysis, protein analysis, computational vaccine, and drug design. Covering cheminformatics, computational evolutionary biology and the role of next-generation sequencing and neural network analysis, it also discusses the use of bioinf...
2026
EN
Bridging the critical gap between complex genomic data and actual clinical practice, this essential volume delivers the cutting-edge AI methodologies, expert bioinformatics insights, and practical case studies needed to unlock truly personalized medicine.Modern biological computation requires both increasing speed and accuracy for applications ranging from genomics to personalized medicine. As the need for this technology grows, classical computing methods of tackl...
Decision Sciences in Bioinformatics
Theory and Practice
2026
EN
Accessible
Bioinformatics deals with computational and mathematical approaches for understanding and processing biological data. This book highlights the computational procedures and the applications evolving around biological data, including usage of decision sciences for a variety of applications, namely text mining, "OMIC" sciences, systems biology, analyzing biological/medical images, computer-aided diagnosis/treatment of diseases, decision sciences for public health with COVID-19 data, biodivers...
Bioinformatics with Python Cookbook
Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology
2018
EN
Discover modern, next-generation sequencing libraries from Python ecosystem to analyze large amounts of biological dataKey FeaturesPerform complex bioinformatics analysis using the most important Python libraries and applicationsImplement next-generation sequencing, metagenomics, automating analysis, population genetics, and moreExplore various statistical and machine learning techniques for bioinformatics data analysisBook Descri...











