Methods And Applications Computational Genomics
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Methods And Applications Computational Genomics
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Author : Guanglin Li
language : en
Publisher: Frontiers Media SA
Release Date : 2022-07-28
Methods And Applications Computational Genomics written by Guanglin Li and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-28 with Science categories.
Kernel Methods In Computational Biology
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Author : Bernhard Schölkopf
language : en
Publisher: MIT Press
Release Date : 2004
Kernel Methods In Computational Biology written by Bernhard Schölkopf and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.
A detailed overview of current research in kernel methods and their application to computational biology.
Computational Genomics With R
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Author : Altuna Akalin
language : en
Publisher: CRC Press
Release Date : 2020-12-16
Computational Genomics With R written by Altuna Akalin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-16 with Mathematics categories.
Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.
Computational Structural Biology
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Author : Manuel Claude Peitsch
language : en
Publisher: World Scientific
Release Date : 2008
Computational Structural Biology written by Manuel Claude Peitsch and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Science categories.
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 Biology And Bioinformatics
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Author : Ka-Chun Wong
language : en
Publisher:
Release Date : 2016
Computational Biology And Bioinformatics written by Ka-Chun Wong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Science categories.
Chapter 17 - Improved Protein Model Ranking through Topological Assessment -- Back Cover
Applications And Methods In Genomic Networks
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Author : Kimberly Glass
language : en
Publisher: Frontiers Media SA
Release Date : 2022-07-01
Applications And Methods In Genomic Networks written by Kimberly Glass and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-01 with Science categories.
Association Analysis Techniques And Applications In Bioinformatics
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Author : Qingfeng Chen
language : en
Publisher: Springer Nature
Release Date : 2024-04-25
Association Analysis Techniques And Applications In Bioinformatics written by Qingfeng Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-25 with Computers categories.
Advances in experimental technologies have given rise to tremendous amounts of biology data. This not only offers valuable sources of data to help understand biological evolution and functional mechanisms, but also poses challenges for accurate and effective data analysis. This book offers an essential introduction to the theoretical and practical aspects of association analysis, including data pre-processing, data mining methods/algorithms, and tools that are widely applied for computational biology. It covers significant recent advances in the field, both foundational and application-oriented, helping readers understand the basic principles and emerging techniques used to discover interesting association patterns in diverse and heterogeneous biology data, such as structure-function correlations, and complex networks with gene/protein regulation. The main results and approaches are described in an easy-to-follow way and accompanied by sufficientreferences and suggestions for future research. This carefully edited monograph is intended to provide investigators in the fields of data mining, machine learning, artificial intelligence, and bioinformatics with a profound guide to the role of association analysis in computational biology. It is also very useful as a general source of information on association analysis, and as an overall accompanying course book and self-study material for graduate students and researchers in both computer science and bioinformatics.
Informatics
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Author : VIJAYAKUMARAN NAIR K.
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2014-07-18
Informatics written by VIJAYAKUMARAN NAIR K. 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 2014-07-18 with Computers categories.
The book provides an overview of the basic concepts of informatics. Dealing with the concerns and issues of digital technology, the text has been written with the objective of introducing students with the tools and applications of information technology, highlighting its use by the digital society. It creates awareness on the nature of emerging digital knowledge society and social issues. Organized into six chapters, the book explains the fundamentals of informatics, besides sharing and analyzing the consequences of rapid computerization. Beginning with an overview of information technology explaining evolution of computers, computer classification, computer hardware and networking, the book moves to the Internet which is considered as a knowledge repository. It then explains IPR, copyright, patents and software license agreement. The book also highlights and discusses social informatics, e-Governance, applications of informatics in various subject areas and futuristic IT. The book is primarily intended as a text for undergraduate and postgraduate students of various disciplines wherein ‘Informatics’ is prescribed as a core or foundation course. The book will also be of immense use to general readers who are interested in knowing the applications of information technology. Key Features 1. Provides updated information as per the course curriculum of many universities. 2. Includes labeled and immaculate illustrations for clear understanding of the concepts. 3. Chapter-end review questions to reinforce to concepts understanding and to help students prepare for examinations. 4. Presents an extensive glossary of technical terms. Solution Manual is available for adopting faculty.
Encyclopedia Of Bioinformatics And Computational Biology
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Author :
language : en
Publisher: Elsevier
Release Date : 2018-08-21
Encyclopedia Of Bioinformatics And Computational Biology written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-21 with Medical categories.
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 For Stem Cell Research
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Author : Pawan Raghav
language : en
Publisher: Elsevier
Release Date : 2024-01-12
Computational Biology For Stem Cell Research written by Pawan Raghav and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-12 with Science categories.
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.