Computational Methods For Predicting Post Translational Modification Sites


Computational Methods For Predicting Post Translational Modification Sites
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Computational Methods For Predicting Post Translational Modification Sites


Computational Methods For Predicting Post Translational Modification Sites
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Author : Dukka B. KC
language : en
Publisher: Springer Nature
Release Date : 2022-06-13

Computational Methods For Predicting Post Translational Modification Sites written by Dukka B. KC and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-13 with Science categories.


This volume describes computational approaches to predict multitudes of PTM sites. Chapters describe in depth approaches on algorithms, state-of-the-art Deep Learning based approaches, hand-crafted features, physico-chemical based features, issues related to obtaining negative training, sequence-based features, and structure-based features. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Authoritative and cutting-edge, Computational Methods for Predicting Post-Translational Modification Sites aims to be a useful guide for researchers who are interested in the field of PTM site prediction.



Computational Methods For Discovery Of Cellular Regulatory Mechanisms


Computational Methods For Discovery Of Cellular Regulatory Mechanisms
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Author : Vladimir Vacic
language : en
Publisher:
Release Date : 2008

Computational Methods For Discovery Of Cellular Regulatory Mechanisms written by Vladimir Vacic and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Cellular control mechanisms categories.




Algorithmic And Artificial Intelligence Methods For Protein Bioinformatics


Algorithmic And Artificial Intelligence Methods For Protein Bioinformatics
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Author : Yi Pan
language : en
Publisher: John Wiley & Sons
Release Date : 2013-10-07

Algorithmic And Artificial Intelligence Methods For Protein Bioinformatics written by Yi Pan 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 2013-10-07 with Medical categories.


Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics An in-depth look at the latest research, methods, and applications in the field of protein bioinformatics This book presents the latest developments in protein bioinformatics, introducing for the first time cutting-edge research results alongside novel algorithmic and AI methods for the analysis of protein data. In one complete, self-contained volume, Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics addresses key challenges facing both computer scientists and biologists, arming readers with tools and techniques for analyzing and interpreting protein data and solving a variety of biological problems. Featuring a collection of authoritative articles by leaders in the field, this work focuses on the analysis of protein sequences, structures, and interaction networks using both traditional algorithms and AI methods. It also examines, in great detail, data preparation, simulation, experiments, evaluation methods, and applications. Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics: Highlights protein analysis applications such as protein-related drug activity comparison Incorporates salient case studies illustrating how to apply the methods outlined in the book Tackles the complex relationship between proteins from a systems biology point of view Relates the topic to other emerging technologies such as data mining and visualization Includes many tables and illustrations demonstrating concepts and performance figures Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics is an essential reference for bioinformatics specialists in research and industry, and for anyone wishing to better understand the rich field of protein bioinformatics.



Computational Resources For Understanding Biomacromolecular Covalent Modifications


Computational Resources For Understanding Biomacromolecular Covalent Modifications
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Author : Dong Xu
language : en
Publisher: Frontiers Media SA
Release Date : 2021-09-14

Computational Resources For Understanding Biomacromolecular Covalent Modifications written by Dong Xu 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 2021-09-14 with Science categories.




Computer Methods Part B


Computer Methods Part B
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Author :
language : en
Publisher: Academic Press
Release Date : 2009-11-05

Computer Methods Part B written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-05 with Computers categories.


The combination of faster, more advanced computers and more quantitatively oriented biomedical researchers has recently yielded new and more precise methods for the analysis of biomedical data. These better analyses have enhanced the conclusions that can be drawn from biomedical data, and they have changed the way that experiments are designed and performed. This volume, along with previous and forthcoming Computer Methods volumes for the Methods in Enzymology serial, aims to inform biomedical researchers about recent applications of modern data analysis and simulation methods as applied to biomedical research. Presents step-by-step computer methods and discusses the techniques in detail to enable their implementation in solving a wide range of problems Informs biomedical researchers of the modern data analysis methods that have developed alongside computer hardware Presents methods at the "nuts and bolts" level to identify and resolve a problem and analyze what the results mean



Microbial Physiology Genetics And Ecology


Microbial Physiology Genetics And Ecology
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Author : Glen Pierce & Lynn Scott
language : en
Publisher: Scientific e-Resources
Release Date : 2019-04-15

Microbial Physiology Genetics And Ecology written by Glen Pierce & Lynn Scott and has been published by Scientific e-Resources this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-15 with categories.


Microbial Physiology retains the logical, easy-to-follow organization of the previous editions. An introduction to cell structure and synthesis of cell components is provided, followed by detailed discussions of genetics, metabolism, growth, and regulation for anyone wishing to understand the mechanisms underlying cell survival and growth. This comprehensive reference approaches the subject from a modern molecular genetic perspective, incorporating new insights gained from various genome projects. The major objective of this book is to identify and focus attention on those methods and concepts that contribute to an understanding of organismal or genetic persistence. In addition, information about microbial physiology, genetics and ecology contributing to persistence of microorganisms or the measurement of persistence will be discussed. Consequently, there is a great need for more baseline information concerning the ecology of microbes in the natural environment. In determining the underlying risks associated with the release of genetically engineered microorganisms, both the target of risk and the critical exposure level must be identified.



Plant Proteomic Research 3 0


Plant Proteomic Research 3 0
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Author : Setsuko Komatsu
language : en
Publisher: MDPI
Release Date : 2021-04-29

Plant Proteomic Research 3 0 written by Setsuko Komatsu and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-29 with Science categories.


The Special Issue “Plant Proteomics 3.0” was conceived in an attempt to address the recent advancements in as well as limitations of current proteomic techniques and their diverse applications to attain new insights into plant molecular responses to various biotic and abiotic stressors and the molecular bases of other processes. Proteomics’ focus is also related to translational purposes, including food traceability and allergen detection. In addition, bioinformatic techniques are needed for more confident identification, quantitation, data analysis and networking, especially with non-model or orphan plants, including medicinal and meditational plants as well as forest tree species. This Special Issue contains 23 articles, including four reviews and 19 original papers.



Data Mining Techniques For The Life Sciences


Data Mining Techniques For The Life Sciences
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Author : Oliviero Carugo
language : en
Publisher: Humana
Release Date : 2016-08-23

Data Mining Techniques For The Life Sciences written by Oliviero Carugo and has been published by Humana this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-23 with Science categories.


Most life science researchers will agree that biology is not a truly theoretical branch of science. The hype around computational biology and bioinformatics beginning in the nineties of the 20th century was to be short lived (1, 2). When almost no value of practical importance such as the optimal dose of a drug or the three-dimensional structure of an orphan protein can be computed from fundamental principles, it is still more straightforward to determine them experimentally. Thus, experiments and observationsdogeneratetheoverwhelmingpartofinsightsintobiologyandmedicine. The extrapolation depth and the prediction power of the theoretical argument in life sciences still have a long way to go. Yet, two trends have qualitatively changed the way how biological research is done today. The number of researchers has dramatically grown and they, armed with the same protocols, have produced lots of similarly structured data. Finally, high-throu- put technologies such as DNA sequencing or array-based expression profiling have been around for just a decade. Nevertheless, with their high level of uniform data generation, they reach the threshold of totally describing a living organism at the biomolecular level for the first time in human history. Whereas getting exact data about living systems and the sophistication of experimental procedures have primarily absorbed the minds of researchers previously, the weight increasingly shifts to the problem of interpreting accumulated data in terms of biological function and bio- lecular mechanisms.



Encyclopedia Of Bioinformatics And Computational Biology


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



Intelligent Computing Theories And Application


Intelligent Computing Theories And Application
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Author : De-Shuang Huang
language : en
Publisher: Springer
Release Date : 2016-07-11

Intelligent Computing Theories And Application written by De-Shuang Huang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-11 with Computers categories.


This two-volume set LNCS 9771 and LNCS 9772 constitutes - in conjunction with the volume LNAI 9773 - the refereed proceedings of the 12th International Conference on Intelligent Computing, ICIC 2016, held in Lanzhou, China, in August 2016. The 221 full papers and 15 short papers of the three proceedings volumes were carefully reviewed and selected from 639 submissions. The papers are organized in topical sections such as signal processing and image processing; information security, knowledge discovery, and data mining; systems biology and intelligent computing in computational biology; intelligent computing in scheduling; information security; advances in swarm intelligence: algorithms and applications; machine learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal processing; pattern recognition; biometrics recognition; image processing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; artificial bee colony algorithms; differential evolution; memetic algorithms; swarm intelligence and optimization; soft computing; protein structure and function prediction; advances in swarm intelligence: algorithms and applications; optimization, neural network, and signal processing; biomedical informatics and image processing; machine learning; knowledge discovery and natural language processing; nature inspired computing and optimization; intelligent control and automation; intelligent data analysis and prediction; computer vision; knowledge representation and expert system; bioinformatics.