Advanced Computational Methods For Massive Biological Sequence Analysis
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Advanced Computational Methods For Massive Biological Sequence Analysis
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Author : Davide Verzotto
language : en
Publisher:
Release Date : 2012
Advanced Computational Methods For Massive Biological Sequence Analysis written by Davide Verzotto and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Advanced Computational Methods For Biocomputing And Bioimaging
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Author : Tuan D. Pham
language : en
Publisher: Nova Publishers
Release Date : 2007
Advanced Computational Methods For Biocomputing And Bioimaging written by Tuan D. Pham and has been published by Nova Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
Computational models have been playing a significant role for the computer-based analysis of biological and biomedical data. Given the recent availability of genomic sequences and microarray gene expression data, there is an increasing demand for developing and applying advanced computational techniques for exploring these types of data such as functional interpretation of gene expression data, deciphering of how genes and proteins work together in pathways and networks, extracting and analysing phenotypic features of mitotic cells for high throughput screening of novel anti-mitotic drugs. Successful applications of advanced computational algorithms to solving modern life-science problems will make significant impacts on several important and promising issues related to genomic medicine, molecular imaging, and the scientific knowledge of the genetic basis of diseases.
Advanced Research In Technologies Information Innovation And Sustainability
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Author : Teresa Guarda
language : en
Publisher: Springer Nature
Release Date : 2025-03-04
Advanced Research In Technologies Information Innovation And Sustainability written by Teresa Guarda and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-04 with Computers categories.
This two-volume set, CCIS 2348 and CCIS 2349 ,constitutes the revised selected papers from the International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability 2024, ARTIIS 2024 Workshops, held in Santiago de Chile, Chile, in October 2024. The 55 full papers and 10 short papers presented in these two volumes were carefully reviewed and selected from 170 submissions. These proceedings include papers from the following workshops: Part I: Applications of Computational Mathematics to Simulation and Data Analysis (ACMaSDA 2024); Business, Technology and Digital Transformation (BTDT 2024); Intelligent Systems for Health and Medical Care (ISHMC 2024); Workshop on Gamification Application and Technologies (GAT 2024); Smart Tourism and Information Systems (SMARTTIS 2024). Part II: International Symposium on Technological Innovations for Industry and Society (ISTIIS 2024); International Workshop on Electronic and Telecommunications (IWET 2024); Boosting Tourism using New Technologies (#RTNT2024); Cybersecurity in Information and Communication Technologies (CICT 2024); Bridging Knowledge in a Fragmented World (glossaLAB 2024); Workshop on IoT Networks and Wireless for sustainability (WINWIN-4S 2024); Innovation in Educational Technology (JIUTE 2024).
Essentials Of Bioinformatics Volume I
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Author : Noor Ahmad Shaik
language : en
Publisher: Springer
Release Date : 2019-03-27
Essentials Of Bioinformatics Volume I written by Noor Ahmad Shaik and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-27 with Computers categories.
Bioinformatics is an integrative field of computer science, genetics, genomics, proteomics, and statistics, which has undoubtedly revolutionized the study of biology and medicine in past decades. It mainly assists in modeling, predicting and interpreting large multidimensional biological data by utilizing advanced computational methods. Despite its enormous potential, bioinformatics is not widely integrated into the academic curriculum as most life science students and researchers are still not equipped with the necessary knowledge to take advantage of this powerful tool. Hence, the primary purpose of our book is to supplement this unmet need by providing an easily accessible platform for students and researchers starting their career in life sciences. This book aims to avoid sophisticated computational algorithms and programming. Instead, it mostly focuses on simple DIY analysis and interpretation of biological data with personal computers. Our belief is that once the beginners acquire these basic skillsets, they will be able to handle most of the bioinformatics tools for their research work and to better understand their experimental outcomes. Unlike other bioinformatics books which are mostly theoretical, this book provides practical examples for the readers on state-of-the-art open source tools to solve biological problems. Flow charts of experiments, graphical illustrations, and mock data are included for quick reference. Volume I is therefore an ideal companion for students and early stage professionals wishing to master this blooming field.
Computational Methods In Molecular Biology
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Author : S.L. Salzberg
language : en
Publisher: Elsevier
Release Date : 1998-06-19
Computational Methods In Molecular Biology written by S.L. Salzberg and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-06-19 with Science categories.
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.
Director S Report
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Author : National Institutes of Health (U.S.). Division of Computer Research and Technology
language : en
Publisher:
Release Date : 1995
Director S Report written by National Institutes of Health (U.S.). Division of Computer Research and Technology and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Medicine 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.
Computational Methods In Genome Research
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Author : Sándor Suhai
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Computational Methods In Genome Research written by Sándor Suhai and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
The application of computational methods to solve scientific and pratical problems in genome research created a new interdisciplinary area that transcends boundaries traditionally separating genetics, biology, mathematics, physics, and computer science. Computers have been, of course, intensively used for many year~ in the field of life sciences, even before genome research started, to store and analyze DNA or proteins sequences, to explore and model the three-dimensional structure, the dynamics and the function of biopolymers, to compute genetic linkage or evolutionary processes etc. The rapid development of new molecular and genetic technologies, combined with ambitious goals to explore the structure and function of genomes of higher organisms, has generated, however, not only a huge and burgeoning body of data but also a new class of scientific questions. The nature and complexity of these questions will require, beyond establishing a new kind of alliance between experimental and theoretical disciplines, also the development of new generations both in computer software and hardware technologies, respectively. New theoretical procedures, combined with powerful computational facilities, will substantially extend the horizon of problems that genome research can ·attack with success. Many of us still feel that computational models rationalizing experimental findings in genome research fulfil their promises more slowly than desired. There also is an uncertainity concerning the real position of a 'theoretical genome research' in the network of established disciplines integrating their efforts in this field.
System Innovation For An Artificial Intelligence Era
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Author : Artde Donald Kin-Tak Lam
language : en
Publisher: CRC Press
Release Date : 2024-11-05
System Innovation For An Artificial Intelligence Era written by Artde Donald Kin-Tak Lam and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-05 with Computers categories.
System Innovation for an Artificial Intelligence Era: Applied System Innovation X contains the papers presented at the IEEE 10th International Conference on Applied System Innovation (ICASI 2024, Kyoto, Japan, 17-21 April 2024. Of the more than 600 submitted papers from 12 different countries, after review approximately a quarter was accepted for publication. The book aims to provide an integrated communication platform for researchers from a wide range of topics including information technology, communication science, applied mathematics, computer science, advanced material science, and engineering. System Innovation for an Artificial Intelligence Era: Applied System Innovation X enhances interdisciplinary collaborations between science and engineering and is aimed at academics and technologists interested in the above mentioned areas.
Shsearch A Method For Fast Remote Homology Detection
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Author : Mohamed Baddar
language : en
Publisher: GRIN Verlag
Release Date : 2017-09-26
Shsearch A Method For Fast Remote Homology Detection written by Mohamed Baddar and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-26 with Mathematics categories.
Master's Thesis from the year 2014 in the subject Mathematics - Statistics, grade: 3.8, , language: English, abstract: Remote homology detection is the problem of detecting homology in cases of low sequence similarity. It is a hard computational problem with no approach that works well in all cases. Methods based on profile hidden Markov models (HMM) often exhibit relatively higher sensitivity for detecting remote homologies than commonly used approaches. However, calculating similarity scores in profile HMM methods is computationally intensive as they use dynamic programming algorithms. In this paper, we introduce SHsearch: a new method for remote protein homology detection. Our method is implemented as a modification of HHsearch: a remote protein homology detection method based on comparing two profile HMMs. The motivation for modification was to reduce the run time of HHsearch significantly with minimal sensitivity loss. SHsearch focuses on comparing the important submodels of the query and database HMMs instead of comparing the complete models. Hence, SHsearch achieves a significant speedup over HHsearch with minimal loss in sensitivity. On S C O P 1.63, SHsearch achieved 88x speedup with 8.2% loss in sensitivity with respect to HHsearch at an error rate of 10%, which is deemed to be an acceptable tradeoff.