Methods And Applications Of Computational Immunology

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Methods and Applications of Computational Immunology

Author : Victor Greiff,Gur Yaari,Johannes Textor,Benny Chain
Publisher : Frontiers Media SA
Page : 358 pages
File Size : 55,9 Mb
Release : 2020-01-30
Category : Electronic
ISBN : 9782889633883

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Methods and Applications of Computational Immunology by Victor Greiff,Gur Yaari,Johannes Textor,Benny Chain Pdf

Kernel Methods in Computational Biology

Author : Bernhard Schölkopf,Koji Tsuda,Jean-Philippe Vert
Publisher : MIT Press
Page : 428 pages
File Size : 46,9 Mb
Release : 2004
Category : Computers
ISBN : 0262195097

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Kernel Methods in Computational Biology by Bernhard Schölkopf,Koji Tsuda,Jean-Philippe Vert Pdf

A detailed overview of current research in kernel methods and their application to computational biology.

Computational Immunology

Author : Shyamasree Ghosh
Publisher : CRC Press
Page : 201 pages
File Size : 53,8 Mb
Release : 2020-01-31
Category : Medical
ISBN : 9781351023498

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Computational Immunology by Shyamasree Ghosh Pdf

Computational Immunology: Applications focuses on different mathematical models, statistical tools, techniques, and computational modelling that helps in understanding complex phenomena of the immune system and its biological functions. The book also focuses on the latest developments in computational biology in designing of drugs, targets, biomarkers for early detection and prognosis of a disease. It highlights the applications of computational methods in deciphering the complex processes of the immune system and its role in health and disease. This book discusses the most essential topics, including Next generation sequencing (NGS) and computational immunology Computational modelling and biology of diseases Drug designing Computation and identification of biomarkers Application in organ transplantation Application in disease detection and therapy Computational methods and applications in understanding of the invertebrate immune system S Ghosh is MSc, PhD, PGDHE, PGDBI, is PhD from IICB, CSIR, Kolkata, awarded the prestigious National Scholarship from the Government of India. She has worked and published extensively in glycobiology, sialic acids, immunology, stem cells and nanotechnology. She has authored several publications that include books and encyclopedia chapters in reputed journals and books.

Computational Structural Biology

Author : Torsten Schwede
Publisher : World Scientific
Page : 790 pages
File Size : 44,7 Mb
Release : 2008
Category : Science
ISBN : 9789812778789

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Computational Structural Biology by Torsten Schwede Pdf

This is a comprehensive introduction to Landau-Lifshitz equations and Landau-Lifshitz-Maxwell equations, beginning with the work by Yulin Zhou and Boling Guo in the early 1980s and including most of the work done by this Chinese group led by Zhou and Guo since. The book focuses on aspects such as the existence of weak solutions in multi dimensions, existence and uniqueness of smooth solutions in one dimension, relations with harmonic map heat flows, partial regularity and long time behaviors. The book is a valuable reference book for those who are interested in partial differential equations, geometric analysis and mathematical physics. It may also be used as an advanced textbook by graduate students in these fields.

Computational Methods in Molecular Biology

Author : S.L. Salzberg,D.B. Searls,S. Kasif
Publisher : Elsevier
Page : 399 pages
File Size : 45,7 Mb
Release : 1998-06-19
Category : Computers
ISBN : 9780080860930

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Computational Methods in Molecular Biology by S.L. Salzberg,D.B. Searls,S. Kasif Pdf

Computational biology is a rapidly expanding field, and the number and variety of computational methods used for DNA and protein sequence analysis is growing every day. These algorithms are extremely valuable to biotechnology companies and to researchers and teachers in universities. This book explains the latest computer technology for analyzing DNA, RNA, and protein sequences. Clear and easy to follow, designed specifically for the non-computer scientist, it will help biologists make better choices on which algorithm to use. New techniques and demonstrations are elucidated, as are state-of-the-art problems, and more advanced material on the latest algorithms. The primary audience for this volume are molecular biologists working either in biotechnology companies or academic research environments, individual researchers and the institutions they work for, and students. Any biologist who relies on computers should want this book. A secondary audience will be computer scientists developing techniques with applications in biology. An excellent reference for leading techniques, it will also help introduce computer scientists to the biology problems. This is an outstanding work which will be ideal for the increasing number of scientists moving into computational biology.

Computational Systems Biology of Cancer

Author : Emmanuel Barillot,Laurence Calzone,Philippe Hupe,Jean-Philippe Vert,Andrei Zinovyev
Publisher : CRC Press
Page : 463 pages
File Size : 51,7 Mb
Release : 2012-08-25
Category : Science
ISBN : 9781439831441

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Computational Systems Biology of Cancer by Emmanuel Barillot,Laurence Calzone,Philippe Hupe,Jean-Philippe Vert,Andrei Zinovyev Pdf

The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models—integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput technologies such as microarrays and next-generation sequencing. Offering promising insights on how to defeat cancer, the emerging field of systems biology captures the complexity of biological phenomena using mathematical and computational tools. Novel Approaches to Fighting Cancer Drawn from the authors’ decade-long work in the cancer computational systems biology laboratory at Institut Curie (Paris, France), Computational Systems Biology of Cancer explains how to apply computational systems biology approaches to cancer research. The authors provide proven techniques and tools for cancer bioinformatics and systems biology research. Effectively Use Algorithmic Methods and Bioinformatics Tools in Real Biological Applications Suitable for readers in both the computational and life sciences, this self-contained guide assumes very limited background in biology, mathematics, and computer science. It explores how computational systems biology can help fight cancer in three essential aspects: Categorising tumours Finding new targets Designing improved and tailored therapeutic strategies Each chapter introduces a problem, presents applicable concepts and state-of-the-art methods, describes existing tools, illustrates applications using real cases, lists publically available data and software, and includes references to further reading. Some chapters also contain exercises. Figures from the text and scripts/data for reproducing a breast cancer data analysis are available at www.cancer-systems-biology.net.

Computational Structural Biology

Author : Manuel Claude Peitsch
Publisher : World Scientific
Page : 790 pages
File Size : 44,5 Mb
Release : 2008
Category : Science
ISBN : 9789812778772

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Computational Structural Biology by Manuel Claude Peitsch Pdf

This work covers the impact of computational structural biology on protein structure prediction methods, macromolecular function and protein design, and key methods in drug discovery. It also addresses the computational challenges of experimental approaches in structural biology.

Computational Immunology

Author : Josep Bassaganya-Riera
Publisher : Academic Press
Page : 210 pages
File Size : 53,5 Mb
Release : 2015-10-21
Category : Medical
ISBN : 9780128037157

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Computational Immunology by Josep Bassaganya-Riera Pdf

Computational Immunology: Models and Tools encompasses the methodological framework and application of cutting-edge tools and techniques to study immunological processes at a systems level, along with the concept of multi-scale modeling. The book's emphasis is on selected cases studies and application of the most updated technologies in computational modeling, discussing topics such as computational modeling and its usage in immunological research, bioinformatics infrastructure, ODE based modeling, agent based modeling, and high performance computing, data analytics, and multiscale modeling. There are also modeling exercises using recent tools and models which lead the readers to a thorough comprehension and applicability. The book is a valuable resource for immunologists, computational biologists, bioinformaticians, biotechnologists, and computer scientists, as well as all those who wish to broaden their knowledge in systems modeling. Offers case studies with different levels of complexity Provides a detailed view on cutting-edge tools for modeling that are useful to experimentalists with limited computational skills Explores the usage of simulation for hypothesis generation, helping the reader to understand the most valuable points on experimental setting

Handbook of Research on Computational and Systems Biology

Author : Limin Angela Liu,Dongqing Wei,Yixue Li
Publisher : IGI Global
Page : 0 pages
File Size : 45,8 Mb
Release : 2011
Category : Computers
ISBN : 1609604911

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Handbook of Research on Computational and Systems Biology by Limin Angela Liu,Dongqing Wei,Yixue Li Pdf

"This book offers information on the state-of-the-art development in the fields of computational biology and systems biology, presenting methods, tools, and applications of these fields by many leading experts around the globe"--Provided by publisher.

Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology

Author : Hamid R Arabnia,Quoc Nam Tran
Publisher : Morgan Kaufmann
Page : 592 pages
File Size : 49,7 Mb
Release : 2016-03-25
Category : Computers
ISBN : 9780128042595

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Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology by Hamid R Arabnia,Quoc Nam Tran Pdf

Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications covers the latest trends in the field with special emphasis on their applications. The first part covers the major areas of computational biology, development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques for the study of biological and behavioral systems. The second part covers bioinformatics, an interdisciplinary field concerned with methods for storing, retrieving, organizing, and analyzing biological data. The book also explores the software tools used to generate useful biological knowledge. The third part, on systems biology, explores how to obtain, integrate, and analyze complex datasets from multiple experimental sources using interdisciplinary tools and techniques, with the final section focusing on big data and the collection of datasets so large and complex that it becomes difficult to process using conventional database management systems or traditional data processing applications. Explores all the latest advances in this fast-developing field from an applied perspective Provides the only coherent and comprehensive treatment of the subject available Covers the algorithm development, software design, and database applications that have been developed to foster research

10th International Conference on Practical Applications of Computational Biology & Bioinformatics

Author : Mohd Saberi Mohamad,Miguel P. Rocha,Florentino Fdez-Riverola,Francisco J. Domínguez Mayo,Juan F. De Paz
Publisher : Springer
Page : 224 pages
File Size : 48,8 Mb
Release : 2016-05-31
Category : Technology & Engineering
ISBN : 9783319401263

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10th International Conference on Practical Applications of Computational Biology & Bioinformatics by Mohd Saberi Mohamad,Miguel P. Rocha,Florentino Fdez-Riverola,Francisco J. Domínguez Mayo,Juan F. De Paz Pdf

Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next generation sequencing technologies, together with novel and ever evolving distinct types of omics data technologies, have put an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, Biology is more and more a science of information requiring tools from the computational sciences. In the last few years, we have seen the surge of a new generation of interdisciplinary scientists that have a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. PACBB‘16 hopes to contribute to this effort promoting this fruitful interaction. PACBB'16 technical program included 21 papers spanning many different sub-fields in Bioinformatics and Computational Biology. Therefore, the conference will certainly promote the interaction of scientists from diverse research groups and with a distinct background (computer scientists, mathematicians, biologists). The scientific content will certainly be challenging and will promote the improvement of the work being developed by each of the participants.

Practical Applications of Computational Biology and Bioinformatics, 17th International Conference (PACBB 2023)

Author : Miguel Rocha,Florentino Fdez-Riverola,Mohd Saberi Mohamad,Ana Belén Gil-González
Publisher : Springer Nature
Page : 113 pages
File Size : 42,8 Mb
Release : 2023-07-10
Category : Technology & Engineering
ISBN : 9783031380792

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Practical Applications of Computational Biology and Bioinformatics, 17th International Conference (PACBB 2023) by Miguel Rocha,Florentino Fdez-Riverola,Mohd Saberi Mohamad,Ana Belén Gil-González Pdf

This book aims to promote the interaction among the scientific community to discuss applications of CS/AI with an interdisciplinary character, exploring the interactions between sub-areas of CS/AI, bioinformatics, chemoinformatics, and systems biology. The success of bioinformatics in recent years has been prompted by research in molecular biology and molecular medicine in several initiatives. This year’s technical program presents both high quality and diversity, with contributions in well-established and evolving areas of research. The PACBB’23 technical program has selected 9 full papers in the main track and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the LASI and Centro Algoritmi of the University of Minho (Portugal). The authors would like to thank all the contributing authors, the members of the program committee, national associations (AEPIA, APPIA), and the sponsors (AIR Institute).

Kernel Methods in Computational Biology

Author : Bernhard Schölkopf,Koji Tsuda,Jean-Philippe Vert
Publisher : Unknown
Page : 400 pages
File Size : 51,9 Mb
Release : 2004
Category : Computational biology
ISBN : 8180520773

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Kernel Methods in Computational Biology by Bernhard Schölkopf,Koji Tsuda,Jean-Philippe Vert Pdf

This book provides a detailed overview of current research in kernel methods and their applications to computational biology. Following three introductory chapters -- an introduction to molecular and computational biology, a short review of kernel methods that focuses on intuitive concepts rather than technical details, and a detailed survey of recent applications of kernel methods in computational biology -- the book is divided into three sections that reflect three general trends in current research. The first part presents different ideas for the design of kernel functions specifically adapted to various biological data; the second part covers different approaches to learning from heterogeneous data; and the third part offers examples of successful applications of support vector machine methods.

Computational Systems Bioinformatics - Methods And Biomedical Applications

Author : Wong Stephen Tin Chi,Zhou Xiaobo
Publisher : World Scientific Publishing Company
Page : 400 pages
File Size : 51,7 Mb
Release : 2008-01-02
Category : Science
ISBN : 9789813106994

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Computational Systems Bioinformatics - Methods And Biomedical Applications by Wong Stephen Tin Chi,Zhou Xiaobo Pdf

Computational systems biology is a new and rapidly developing field of research, concerned with understanding the structure and processes of biological systems at the molecular, cellular, tissue, and organ levels through computational modeling as well as novel information theoretic data and image analysis methods. By focusing on either information processing of biological data or on modeling physical and chemical processes of biosystems, and in combination with the recent breakthrough in deciphering the human genome, computational systems biology is guaranteed to play a central role in disease prediction and preventive medicine, gene technology and pharmaceuticals, and other biotechnology fields.This book begins by introducing the basic mathematical, statistical, and data mining principles of computational systems biology, and then presents bioinformatics technology in microarray and sequence analysis step-by-step. Offering an insightful look into the effectiveness of the systems approach in computational biology, it focuses on recurrent themes in bioinformatics, biomedical applications, and future directions for research.

Computational Biology

Author : Tuan Pham
Publisher : Springer Science & Business Media
Page : 309 pages
File Size : 41,6 Mb
Release : 2009-09-23
Category : Medical
ISBN : 9781441908117

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Computational Biology by Tuan Pham Pdf

This volume covers techniques in computational biology and their applications in oncology. It details advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, and image and pattern analysis applied to cancer research.