Machine Learning In Bioinformatics Of Protein Sequences Algorithms Databases And Resources For Modern Protein Bioinformatics
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Machine Learning In Bioinformatics Of Protein Sequences Algorithms Databases And Resources For Modern Protein Bioinformatics
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Author : Lukasz Kurgan
language : en
Publisher: World Scientific
Release Date : 2022-12-06
Machine Learning In Bioinformatics Of Protein Sequences Algorithms Databases And Resources For Modern Protein Bioinformatics written by Lukasz Kurgan and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-06 with Science categories.
Machine Learning in Bioinformatics of Protein Sequences guides readers around the rapidly advancing world of cutting-edge machine learning applications in the protein bioinformatics field. Edited by bioinformatics expert, Dr Lukasz Kurgan, and with contributions by a dozen of accomplished researchers, this book provides a holistic view of the structural bioinformatics by covering a broad spectrum of algorithms, databases and software resources for the efficient and accurate prediction and characterization of functional and structural aspects of proteins. It spotlights key advances which include deep neural networks, natural language processing-based sequence embedding and covers a wide range of predictions which comprise of tertiary structure, secondary structure, residue contacts, intrinsic disorder, protein, peptide and nucleic acids-binding sites, hotspots, post-translational modification sites, and protein function. This volume is loaded with practical information that identifies and describes leading predictive tools, useful databases, webservers, and modern software platforms for the development of novel predictive tools.
Statistical Modelling And Machine Learning Principles For Bioinformatics Techniques Tools And Applications
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Author : K. G. Srinivasa
language : en
Publisher: Springer Nature
Release Date : 2020-01-30
Statistical Modelling And Machine Learning Principles For Bioinformatics Techniques Tools And Applications written by K. G. Srinivasa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-30 with Technology & Engineering categories.
This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and machine learning in knowledge extraction from biological data, and how this knowledge can be applied in fields such as drug design, health supplements, gene therapy, proteomics and agriculture.
Bioinformatics Computing
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Author : Bryan P. Bergeron
language : en
Publisher: Prentice Hall Professional
Release Date : 2003
Bioinformatics Computing written by Bryan P. Bergeron and has been published by Prentice Hall Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.
Comprehensive and concise, this handbook has chapters on computing visualization, large database designs, advanced pattern matching and other key bioinformatics techniques. It is a practical guide to computing in the growing field of Bioinformatics--the study of how information is represented and transmitted in biological systems, starting at the molecular level.
Bioinformatics And Molecular Evolution
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Author : Paul G. Higgs
language : en
Publisher: John Wiley & Sons
Release Date : 2013-04-30
Bioinformatics And Molecular Evolution written by Paul G. Higgs and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-30 with Science categories.
In the current era of complete genome sequencing, Bioinformatics and Molecular Evolution provides an up-to-date and comprehensive introduction to bioinformatics in the context of evolutionary biology. This accessible text: provides a thorough examination of sequence analysis, biological databases, pattern recognition, and applications to genomics, microarrays, and proteomics emphasizes the theoretical and statistical methods used in bioinformatics programs in a way that is accessible to biological science students places bioinformatics in the context of evolutionary biology, including population genetics, molecular evolution, molecular phylogenetics, and their applications features end-of-chapter problems and self-tests to help students synthesize the materials and apply their understanding is accompanied by a dedicated website - www.blackwellpublishing.com/higgs - containing downloadable sequences, links to web resources, answers to self-test questions, and all artwork in downloadable format (artwork also available to instructors on CD-ROM). This important textbook will equip readers with a thorough understanding of the quantitative methods used in the analysis of molecular evolution, and will be essential reading for advanced undergraduates, graduates, and researchers in molecular biology, genetics, genomics, computational biology, and bioinformatics courses.
Plant Bioinformatics
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Author : Khalid Rehman Hakeem
language : en
Publisher: Springer
Release Date : 2017-11-21
Plant Bioinformatics written by Khalid Rehman Hakeem and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-21 with Science categories.
This book: (i) introduces fundamental and applied bioinformatics research in the field of plant life sciences; (ii) enlightens the potential users towards the recent advances in the development and application of novel computational methods available for the analysis and integration of plant -omics data; (iii) highlights relevant databases, softwares, tools and web resources developed till date to make ease of access for researchers working to decipher plant responses towards stresses; and (iv) presents a critical cross-talks on the available high-throughput data in plant research. Therefore, in addition to being a reference for the professional researchers, it is also of great interest to students and their professors. Considering immense significance of plants for all lives on Earth, the major focus of research in plant biology has been to: (a) select plants that best fit the purposes of human, (b) develop crop plants superior in quality, quantity and farming practices when compared to natural (wild) plants, and (c) explore strategies to help plants to adapt biotic and abiotic/environmental stress factors. Accordingly the development of novel techniques and their applications have increased significantly in recent years. In particular, large amount of biological data have emerged from multi-omics approaches aimed at addressing numerous aspects of the plant systems under biotic or abiotic stresses. However, even though the field is evolving at a rapid pace, information on the cross-talks and/or critical digestion of research outcomes in the context of plant bioinformatics is scarce. “Plant Bioinformatics: Decoding the Phyta” is aimed to bridge this gap.
Modern Python Bio Informatics
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Author : Dr. Amarendra Alluri
language : en
Publisher: RK Publication
Release Date : 2024-09-20
Modern Python Bio Informatics written by Dr. Amarendra Alluri and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-20 with Computers categories.
Modern Python Bioinformatics is an insightful guide merging Python programming with bioinformatics, designed for both beginners and seasoned professionals in computational biology. This book covers essential Python skills and advanced bioinformatics concepts, including DNA/RNA sequencing, protein structure analysis, and data visualization. It emphasizes practical applications with examples and projects that demonstrate how to handle biological data, perform statistical analyses, and develop efficient bioinformatics workflows. With accessible explanations and code snippets, it equips readers to tackle real-world challenges in bioinformatics research and development.
Introduction To Modern Information Retrieval
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Author : Gerard Salton
language : en
Publisher: New York ; Montreal : McGraw-Hill
Release Date : 1983
Introduction To Modern Information Retrieval written by Gerard Salton and has been published by New York ; Montreal : McGraw-Hill this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Computers categories.
Examines Concepts, Functions & Processes of Information Retrieval Systems
Understanding Bioinformatics
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Author : Marketa J. Zvelebil
language : en
Publisher: Garland Science
Release Date : 2008
Understanding Bioinformatics written by Marketa J. Zvelebil and has been published by Garland Science this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
Suitable for advanced undergraduates & postgraduates, this book provides a definitive guide to bioinformatics. It takes a conceptual approach & guides the reader from first principles through to an understanding of the computational techniques & the key algorithms.
Artificial Intelligence And Industry 5 0
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Author :
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2025-03-01
Artificial Intelligence And Industry 5 0 written by and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-01 with Computers categories.
Artificial Intelligence and Industry 5.0 is a textbook that bridges theoretical foundations of AI with its applications in the emerging areas of Industry 5.0. The book is written to provide a foundation for machine learning and deep learning with their applications in natural sciences by providing worked-out examples and exercises. The book takes a balanced approach between the theoretical basis for machine learning and its applications. It covers topics including artificial neural networks, machine learning, supervised and unsupervised learning, deep learning, convolution neural networks, and recurrent neural networks. Besides, the book also includes topics such as pattern recognition, natural language processing and metaheuristic algorithms which will give readers to understand some of the vital areas where AI plays a significant role. The well-explained algorithms and pseudocodes for each topic help students to apply them in their relevant field. The book, besides discussing the topics prescribed in the syllabus, is enriched with the research experience of the authors from different fields, including Theoretical or Computational Chemistry, Bioinformatics, and Computer Sciences, and various training programs conducted for the students/research community. This book is a result of 6 years of group discussions that took place with the groups of eminent professors and researchers in the field. For brief lectures/PPTs, the readers can visit PHI Learning Centre or https://github.com/gnsastry/ACDS-Lectures . KEY FEATURES • Includes topics prescribed in the syllabus as well as the latest research in the field. • The book provides a mathematical foundation and learning techniques in Artificial Intelligence, Machine Learning and Deep Learning. • Each chapter comprises a set of worked-out examples and exercises which are focused on the key concepts. • The book is organized with fundamental concepts and applications in natural sciences, healthcare, drug discovery, environmental sustainability, and more. TARGET AUDIENCE • B.Tech Computer Science and Engineering • B.Tech AI and ML • B.Tech all branches for elective course
Paralyzing Predators
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Author : Amara Darwin
language : en
Publisher: Publifye AS
Release Date : 2025-02-12
Paralyzing Predators written by Amara Darwin and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-12 with Science categories.
Paralyzing Predators explores the fascinating world of venomous animals that use paralysis to capture prey, delving into their evolutionary adaptations and ecological significance. These predators showcase how natural selection has shaped their hunting behaviors, with some venoms acting incredibly fast to immobilize prey, as seen in certain marine snails. The book examines the biochemical mechanisms behind these venoms, revealing how toxins disrupt nerve and muscle function with remarkable precision. This exploration provides insight into the evolutionary pressures that drive the development of these sophisticated paralytic strategies. The book starts with an introduction to venom production and delivery, moves through the molecular compositions of venoms and ecological roles of predators, and finishes by looking at potential biomedical applications. The book's unique approach integrates molecular biology, ecology, and evolutionary biology, providing a holistic understanding of paralytic predation.