Computational Methods In Genome Research

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Computational Methods In Genome Research

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Author : Sándor Suhai
language : en
Publisher: Springer Science & Business Media
Release Date : 1994

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 1994 with Medical categories.

Chapters originating as plenary lectures at the July 1992 symposium provide a bridge between experimental databases (information) on the one hand and theoretical concepts (biological and genetic knowledge) on the other. Among the topics: informatics and experiments for the Human Genome Project; the

Theoretical And Computational Methods In Genome Research

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Author : Sándor Suhai
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Theoretical And 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 ofcomputational methods to solve scientific and practical problems in genome research created a new interdisciplinary area that transcends boundaries tradi tionally separating genetics, biology, mathematics, physics, and computer science. Com puters have, of course, been intensively used in the field of life sciences for many years, even before genome research started, to store and analyze DNA or protein sequences; to explore and model the three-dimensional structure, the dynamics, and the function of biopolymers; to compute genetic linkage or evolutionary processes; and more. The rapid development of new molecular and genetic technologies, combined with ambitious goals to explore the structure and function ofgenomes ofhigher organisms, has generated, how ever, not only a huge and exponentially increasing body of data but also a new class of scientific questions. The nature and complexity of these questions will also require, be yond establishing a new kind ofalliance between experimental and theoretical disciplines, the development of new generations both in computer software and hardware technolo gies. New theoretical procedures, combined with powerful computational facilities, will substantially extend the horizon of problems that genome research can attack with suc cess. Many of us still feel that computational models rationalizing experimental findings in genome research fulfill their promises more slowly than desired. There is also an uncer tainty concerning the real position of a "theoretical genome research" in the network of established disciplines integrating their efforts in this field.

Theoretical And Computational Methods In Genome Research

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Author : Sandor Suhai
language : en
Publisher:
Release Date : 1997-06-30

Theoretical And Computational Methods In Genome Research written by Sandor Suhai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-06-30 with categories.

Computational Genome Analysis

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Author : Richard C. Deonier
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-27

Computational Genome Analysis written by Richard C. Deonier 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 2005-12-27 with Science categories.

Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book is appropriate for a one-semester course for advanced undergraduate or beginning graduate students, and it can also introduce computational biology to computer scientists, mathematicians, or biologists who are extending their interests into this exciting field. This book features: - Topics organized around biological problems, such as sequence alignment and assembly, DNA signals, analysis of gene expression, and human genetic variation - Presentation of fundamentals of probability, statistics, and algorithms - Implementation of computational methods with numerous examples based upon the R statistics package - Extensive descriptions and explanations to complement the analytical development - More than 100 illustrations and diagrams (some in color) to reinforce concepts and present key results from the primary literature - Exercises at the end of chapters From the reviews: "The book is useful for its breadth. An impressive variety of topics are surveyed...." Short Book Reviews of the ISI, June 2006 "It is a very good book indeed and I would strongly recommend it both to the student hoping to take this study further and to the general reader who wants to know what computational genome analysis is all about." Mark Bloom for the JRSS, Series A, Volume 169, p. 1006, October 2006 "Richard C. Deonier, Simon Tavare and Michael S. Waterman provide us wtih a 'roll up your sleeves and get dirty' (as the authors phrase it in their preface) introduction to the field of computational genome analysis...The book is carefully written and carefully edited..." Ralf Schmid for Genetic Research, Volume 87, p. 218, 2006

Genome Research

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Author :
language : en
Publisher:
Release Date : 2007

Genome Research written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.

Computational Methods For The Analysis Of Genomic Data And Biological Processes

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Author : Francisco A. Gómez Vela
language : en
Publisher: MDPI
Release Date : 2021-02-05

Computational Methods For The Analysis Of Genomic Data And Biological Processes written by Francisco A. Gómez Vela and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-05 with Medical categories.

In recent decades, new technologies have made remarkable progress in helping to understand biological systems. Rapid advances in genomic profiling techniques such as microarrays or high-performance sequencing have brought new opportunities and challenges in the fields of computational biology and bioinformatics. Such genetic sequencing techniques allow large amounts of data to be produced, whose analysis and cross-integration could provide a complete view of organisms. As a result, it is necessary to develop new techniques and algorithms that carry out an analysis of these data with reliability and efficiency. This Special Issue collected the latest advances in the field of computational methods for the analysis of gene expression data, and, in particular, the modeling of biological processes. Here we present eleven works selected to be published in this Special Issue due to their interest, quality, and originality.

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.

Mathematical And Computational Methods In Biology

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Author : Alejandro Maass
language : en
Publisher: Editions Hermann
Release Date : 2006

Mathematical And Computational Methods In Biology written by Alejandro Maass and has been published by Editions Hermann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Biology categories.

Computational Methods For Fast And Accurate Dna Fragment Assembly

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Author : Carolyn F. Allex
language : en
Publisher:
Release Date : 1999

Computational Methods For Fast And Accurate Dna Fragment Assembly written by Carolyn F. Allex and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.

Pharmacogenomics

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Author : Ambily Sivadas
language : en
Publisher:
Release Date : 2023-09-18

Pharmacogenomics written by Ambily Sivadas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-18 with Education categories.

This is a comprehensive guide to the field of pharmacogenomics, which combines genomics, transcriptomics, epigenomics, proteomics, and metabolomics to understand how individual genetic variations influence drug response. The book covers a wide range of topics, including big data, machine learning, artificial intelligence, data integration, multi-omics, single-cell analysis, biomarker discovery, drug discovery, drug development, clinical trials, adverse drug reactions, pharmacokinetics, pharmacodynamics, gene expression, regulatory genomics, network analysis, pathway analysis, variant analysis, GWAS, eQTL mapping, splicing analysis, gene ontology, functional enrichment, drug-target interactions, drug repurposing, precision medicine, cancer genomics, infectious disease genomics, neurogenomics, cardiovascular genomics, rare disease genomics, omics data visualization, data sharing, open science, reproducibility, ethics, and data privacy. The book emphasizes the importance of personalized medicine, where drug treatments are tailored to individual patients based on their genetic makeup, to improve drug efficacy and reduce adverse drug reactions. It provides detailed descriptions of computational methods and genome integration techniques used in pharmacogenomics research. It also covers the latest developments in the field, including the use of machine learning and artificial intelligence to analyze large-scale omics data, and the application of regulatory genomics and network analysis to identify drug-target interactions and potential drug repurposing opportunities. The book also addresses the challenges and ethical considerations involved in pharmacogenomics research, such as data privacy and the need for open science and reproducibility. It is a valuable resource for researchers, clinicians, and students interested in pharmacogenomics and personalized medicine. Overall, "Pharmacogenomics: Computational Methods, Genome Integration" provides a comprehensive overview of the field, highlighting the potential of omics data to transform drug discovery and development, and improve patient outcomes.