Modeling in Computational Biology and Biomedicine

Modeling in Computational Biology and Biomedicine

Author: Frédéric Cazals

Publisher: Springer Science & Business Media

Published: 2012-11-06

Total Pages: 333

ISBN-13: 364231208X

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Computational biology, mathematical biology, biology and biomedicine are currently undergoing spectacular progresses due to a synergy between technological advances and inputs from physics, chemistry, mathematics, statistics and computer science. The goal of this book is to evidence this synergy by describing selected developments in the following fields: bioinformatics, biomedicine and neuroscience. This work is unique in two respects - first, by the variety and scales of systems studied and second, by its presentation: Each chapter provides the biological or medical context, follows up with mathematical or algorithmic developments triggered by a specific problem and concludes with one or two success stories, namely new insights gained thanks to these methodological developments. It also highlights some unsolved and outstanding theoretical questions, with a potentially high impact on these disciplines. Two communities will be particularly interested in this book. The first one is the vast community of applied mathematicians and computer scientists, whose interests should be captured by the added value generated by the application of advanced concepts and algorithms to challenging biological or medical problems. The second is the equally vast community of biologists. Whether scientists or engineers, they will find in this book a clear and self-contained account of concepts and techniques from mathematics and computer science, together with success stories on their favorite systems. The variety of systems described represents a panoply of complementary conceptual tools. On a practical level, the resources listed at the end of each chapter (databases, software) offer invaluable support for getting started on a specific topic in the fields of biomedicine, bioinformatics and neuroscience.


Encyclopedia of Bioinformatics and Computational Biology

Encyclopedia of Bioinformatics and Computational Biology

Author:

Publisher: Elsevier

Published: 2018-08-21

Total Pages: 3421

ISBN-13: 0128114320

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Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases


Computational Biology and Bioinformatics

Computational Biology and Bioinformatics

Author: Ka-Chun Wong

Publisher: CRC Press

Published: 2016-04-27

Total Pages: 439

ISBN-13: 1498725007

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The advances in biotechnology such as the next generation sequencing technologies are occurring at breathtaking speed. Advances and breakthroughs give competitive advantages to those who are prepared. However, the driving force behind the positive competition is not only limited to the technological advancement, but also to the companion data analy


Computational Bioengineering

Computational Bioengineering

Author: Guigen Zhang

Publisher: CRC Press

Published: 2015-04-01

Total Pages: 508

ISBN-13: 1466517565

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Arguably the first book of its kind, Computational Bioengineering explores the power of multidisciplinary computer modeling in bioengineering. Written by experts, the book examines the interplay of multiple governing principles underlying common biomedical devices and problems, bolstered by case studies. It shows you how to take advantage of the la


Computational Biology for Stem Cell Research

Computational Biology for Stem Cell Research

Author: Pawan Raghav

Publisher: Elsevier

Published: 2024-01-12

Total Pages: 568

ISBN-13: 0443132216

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Computational Biology for Stem Cell Research is an invaluable guide for researchers as they explore HSCs and MSCs in computational biology. With the growing advancement of technology in the field of biomedical sciences, computational approaches have reduced the financial and experimental burden of the experimental process. In the shortest span, it has established itself as an integral component of any biological research activity. HSC informatics (in silico) techniques such as machine learning, genome network analysis, data mining, complex genome structures, docking, system biology, mathematical modeling, programming (R, Python, Perl, etc.) help to analyze, visualize, network constructions, and protein-ligand or protein-protein interactions. This book is aimed at beginners with an exact correlation between the biomedical sciences and in silico computational methods for HSCs transplantation and translational research and provides insights into methods targeting HSCs properties like proliferation, self-renewal, differentiation, and apoptosis. Modeling Stem Cell Behavior: Explore stem cell behavior through animal models, bridging laboratory studies to real-world clinical allogeneic HSC transplantation (HSCT) scenarios. Bioinformatics-Driven Translational Research: Navigate a path from bench to bedside with cutting-edge bioinformatics approaches, translating computational insights into tangible advancements in stem cell research and medical applications. Interdisciplinary Resource: Discover a single comprehensive resource catering to biomedical sciences, life sciences, and chemistry fields, offering essential insights into computational tools vital for modern research.


Biomedical and Computational Biology

Biomedical and Computational Biology

Author: Shiping Wen

Publisher: Springer Nature

Published: 2023-02-01

Total Pages: 624

ISBN-13: 3031251911

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This book constitutes the revised selected proceedings of Second International Symposium on Biomedical and Computational Biology, BECB 2022, held as a virtual event in August 2022. The 58 full papers included in this book were carefully reviewed and selected from 135 submissions. The papers are organized in topical sections as follows: The Charge Transfer Network Model for Arbitrary Proteins Complexes; A Self-Supervised 3D/2D Registration Method for Incomplete DSA Vessels; The Potential Role of RNA "Writer" TRMT61B in the Immune Regulation of Breast Cancer; Extraction, Composition Analysis and Blood Lipid Lowering Activity of Rana chensinensis Ovum Oil.


Computational Bioengineering and Bioinformatics

Computational Bioengineering and Bioinformatics

Author: Nenad Filipovic

Publisher: Springer

Published: 2021-03-12

Total Pages: 169

ISBN-13: 9783030436605

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This book explores the latest and most relevant topics in the field of computational bioengineering and bioinformatics, with a particular focus on patient-specific, disease-progression modeling. It covers computational methods for cardiovascular disease prediction, with an emphasis on biomechanics, biomedical decision support systems, data mining, personalized diagnostics, bio-signal processing, protein structure prediction, biomedical image processing, analysis and visualization, and high-performance computing. It also discusses state-of-the-art tools for disease characterization, and recent advances in areas such as biomechanics, cardiovascular engineering, patient-specific modeling, population-based modeling, multiscale modeling, image processing, data mining, biomedical decision-support systems, signal processing, biomaterials and dental biomechanics, tissue and cell engineering, computational chemistry and high-performance computing. As such, it is a valuable resource for researchers, medical and bioengineering students, and medical device and software experts


Computational Modeling of Biological Systems

Computational Modeling of Biological Systems

Author: Nikolay V Dokholyan

Publisher: Springer Science & Business Media

Published: 2012-02-12

Total Pages: 360

ISBN-13: 1461421454

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Computational modeling is emerging as a powerful new approach to study and manipulate biological systems. Multiple methods have been developed to model, visualize, and rationally alter systems at various length scales, starting from molecular modeling and design at atomic resolution to cellular pathways modeling and analysis. Higher time and length scale processes, such as molecular evolution, have also greatly benefited from new breeds of computational approaches. This book provides an overview of the established computational methods used for modeling biologically and medically relevant systems.


Bioinformatics and Biomedical Engineering

Bioinformatics and Biomedical Engineering

Author: Ignacio Rojas

Publisher: Springer

Published: 2017-04-07

Total Pages: 697

ISBN-13: 3319561480

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This two volume set LNBI 10208 and LNBI 10209 constitutes the proceedings of the 5th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2017, held in Granada, Spain, in April 2017. The 122 papers presented were carefully reviewed and selected from 309 submissions. The scope of the conference spans the following areas: advances in computational intelligence for critical care; bioinformatics for healthcare and diseases; biomedical engineering; biomedical image analysis; biomedical signal analysis; biomedicine; challenges representing large-scale biological data; computational genomics; computational proteomics; computational systems for modeling biological processes; data driven biology - new tools, techniques and resources; eHealth; high-throughput bioinformatic tools for genomics; oncological big data and new mathematical tools; smart sensor and sensor-network architectures; time lapse experiments and multivariate biostatistics.


Practical Applications of Computational Biology and Bioinformatics, 12th International Conference

Practical Applications of Computational Biology and Bioinformatics, 12th International Conference

Author: Florentino Fdez-Riverola

Publisher: Springer

Published: 2018-08-16

Total Pages: 239

ISBN-13: 331998702X

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This book introduces the latest international research in the fields of bioinformatics and computational biology. It includes various studies in the area of machine learning in bioinformatics, systems biology, omics data analysis and mining, biomedical applications and sequences, which were selected by an international committee and presented at the 12th International Conference on Practical Applications of Computational Biology & Bioinformatics held in Toledo in June 2018.