Bioinformatics For Geneticists
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Bioinformatics For Geneticists
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Author : Michael R. Barnes
language : en
Publisher: John Wiley & Sons
Release Date : 2007-03-13
Bioinformatics For Geneticists written by Michael R. Barnes 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 2007-03-13 with Science categories.
Praise from the reviews: "Without reservation, I endorse this text as the best resource I've encountered that neatly introduces and summarizes many points I've learned through years of experience. The gems of truth found in this book will serve well those who wish to apply bioinformatics in their daily work, as well as help them advise others in this capacity." CIRCGENETICS "This book may really help to get geneticists and bioinformaticians on 'speaking-terms'... contains some essential reading for almost any person working in the field of molecular genetics." EUROPEAN JOURNAL OF HUMAN GENETICS "... an excellent resource... this book should ensure that any researcher's skill base is maintained." GENETICAL RESEARCH “... one of the best available and most accessible texts on bioinformatics and genetics in the postgenome age... The writing is clear, with succinct subsections within each chapter....Without reservation, I endorse this text as the best resource I’ve encountered that neatly introduces and summarizes many points I’ve learned through years of experience. The gems of truth found in this book will serve well those who wish to apply bioinformatics in their daily work, as well as help them advise others in this capacity.” CIRCULATION: CARDIOVASCULAR GENETICS A fully revised version of the successful First Edition, this one-stop reference book enables all geneticists to improve the efficiency of their research. The study of human genetics is moving into a challenging new era. New technologies and data resources such as the HapMap are enabling genome-wide studies, which could potentially identify most common genetic determinants of human health, disease and drug response. With these tremendous new data resources at hand, more than ever care is required in their use. Faced with the sheer volume of genetics and genomic data, bioinformatics is essential to avoid drowning true signal in noise. Considering these challenges, Bioinformatics for Geneticists, Second Edition works at multiple levels: firstly, for the occasional user who simply wants to extract or analyse specific data; secondly, at the level of the advanced user providing explanations of how and why a tool works and how it can be used to greatest effect. Finally experts from fields allied to genetics give insight into the best genomics tools and data to enhance a genetic experiment. Hallmark Features of the Second Edition: Illustrates the value of bioinformatics as a constantly evolving avenue into novel approaches to study genetics The only book specifically addressing the bioinformatics needs of geneticists More than 50% of chapters are completely new contributions Dramatically revised content in core areas of gene and genomic characterisation, pathway analysis, SNP functional analysis and statistical genetics Focused on freely available tools and web-based approaches to bioinformatics analysis, suitable for novices and experienced researchers alike Bioinformatics for Geneticists, Second Edition describes the key bioinformatics and genetic analysis processes that are needed to identify human genetic determinants. The book is based upon the combined practical experience of domain experts from academic and industrial research environments and is of interest to a broad audience, including students, researchers and clinicians working in the human genetics domain.
Bioinformatics For Geneticists
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Author : Michael R. Barnes
language : en
Publisher:
Release Date : 2020-08-18
Bioinformatics For Geneticists written by Michael R. Barnes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-18 with categories.
This timely book illustrates the value of bioinformatics, not simply as a set of tools but rather as a science increasingly essential to navigate and manage the host of information generated by genomics and the availability of completely sequenced genomes. Bioinformatics can be used at all stages of genetics research: to improve study design, to assist in candidate gene identification, to aid data interpretation and management and to shed light on the molecular pathology of disease-causing mutations. Written specifically for geneticists, this book explains the relevance of bioinformatics showing how it may be used to enhance genetic data mining and markedly improve genetic analysis.
Bioinformatics For Geneticists 3rd Edition Computational Biology In The Individual Genome Era
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Author : Michael R. Barnes
language : en
Publisher: Wiley-Blackwell
Release Date : 2014
Bioinformatics For Geneticists 3rd Edition Computational Biology In The Individual Genome Era written by Michael R. Barnes and has been published by Wiley-Blackwell this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Bioinformatics categories.
This fully revised version of the successful one-stop reference book enables all geneticists to improve the efficiency of their research, in terms of data quality, analysis and experimental costs.
Bioinformatics For Geneticists
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Author : Michael R. Barnes
language : en
Publisher: John Wiley & Sons
Release Date : 2003-07-01
Bioinformatics For Geneticists written by Michael R. Barnes 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 2003-07-01 with Science categories.
This timely book illustrates the value of bioinformatics, not simply as a set of tools but rather as a science increasingly essential to navigate and manage the host of information generated by genomics and the availability of completely sequenced genomes. Bioinformatics can be used at all stages of genetics research: to improve study design, to assist in candidate gene identification, to aid data interpretation and management and to shed light on the molecular pathology of disease-causing mutations. Written specifically for geneticists, this book explains the relevance of bioinformatics showing how it may be used to enhance genetic data mining and markedly improve genetic analysis.
Bioinformatics For Geneticists
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Author : Michael R. Barnes
language : en
Publisher: Wiley-Blackwell
Release Date : 2013-08-09
Bioinformatics For Geneticists written by Michael R. Barnes and has been published by Wiley-Blackwell this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-09 with categories.
Bioinformatics For Geneticists
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Author : Michael R. Barnes
language : en
Publisher: Wiley Chichester
Release Date : 2007-04-16
Bioinformatics For Geneticists written by Michael R. Barnes and has been published by Wiley Chichester this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-16 with Science categories.
Bioinformatics for geneticists describes the key bioinformatics and genetic analysis processes that are needed to identify human genetic determinants. Including SNP functional analysis and statistical genetics.
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.
Introduction To Bioinformatics
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Author : Stephen A. Krawetz
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-01-31
Introduction To Bioinformatics written by Stephen A. Krawetz 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 2003-01-31 with Science categories.
to Bioinformatics A Theoretical and Practical Approach Edited by Stephen A. Krawetz, PhD Wayne State University School of Medicine, Detroit MI and David D. Womble, PhD Wayne State University School of Medicine, Detroit, MI ~ Springer Science+ ~ Business Media, LLC © 2003 Springer Science+Business Media New York Originally published by Humana Press !ne. in 2003 Softcover reprint of the hardcover 1 st edition 2003 humanapress.com Ali rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording, or otherwise without written permission from the Publisher. Ali papers, comments, opinions, conclusions, or recommendations are those of the author(s), and do not necessarily reflect the views of the publisher. This publication is printed on acid-free paper. G) ANSI Z39.48-1984 (American Standards Institute) Permanence of Paper for Printed Library Materials. Production Editor: Mark J. Breaugh. Cover design by Patricia F. Cleary and Paul A. Thiessen. Cover illustration by Paul A. Thiessen, chemicalgraphics.com.
Bioinformatics And Functional Genomics
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Author : Christina Marshall
language : en
Publisher:
Release Date : 2019-06-19
Bioinformatics And Functional Genomics written by Christina Marshall and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-19 with categories.
Bioinformatics is a rapidly growing branch of science, which integrates the concepts of biology, engineering, mathematics and computer science in order to develop software tools. These tools are used in analyzing and interpreting biological data. Functional genomics is a sub-field of molecular biology, which uses the tools of bioinformatics to understand the diverse aspects of genes such as regulation of gene expression, DNA sequencing, gene transcription, protein-protein interactions, etc. There has been rapid progress in these fields and their applications are finding their way across multiple industries. This book is compiled in such a manner, that it will provide in-depth information about the theory and practice of bioinformatics and functional genomics. Students, researchers, experts, geneticists, biologists and biological engineers will benefit alike from this book.
Probabilistic Graphical Models For Genetics Genomics And Postgenomics
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Author : Christine Sinoquet
language : en
Publisher: OUP Oxford
Release Date : 2014-09-18
Probabilistic Graphical Models For Genetics Genomics And Postgenomics written by Christine Sinoquet and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-18 with Science categories.
Nowadays bioinformaticians and geneticists are faced with myriad high-throughput data usually presenting the characteristics of uncertainty, high dimensionality and large complexity. These data will only allow insights into this wealth of so-called 'omics' data if represented by flexible and scalable models, prior to any further analysis. At the interface between statistics and machine learning, probabilistic graphical models (PGMs) represent a powerful formalism to discover complex networks of relations. These models are also amenable to incorporating a priori biological information. Network reconstruction from gene expression data represents perhaps the most emblematic area of research where PGMs have been successfully applied. However these models have also created renewed interest in genetics in the broad sense, in particular regarding association genetics, causality discovery, prediction of outcomes, detection of copy number variations, and epigenetics. This book provides an overview of the applications of PGMs to genetics, genomics and postgenomics to meet this increased interest. A salient feature of bioinformatics, interdisciplinarity, reaches its limit when an intricate cooperation between domain specialists is requested. Currently, few people are specialists in the design of advanced methods using probabilistic graphical models for postgenomics or genetics. This book deciphers such models so that their perceived difficulty no longer hinders their use and focuses on fifteen illustrations showing the mechanisms behind the models. Probabilistic Graphical Models for Genetics, Genomics and Postgenomics covers six main themes: (1) Gene network inference (2) Causality discovery (3) Association genetics (4) Epigenetics (5) Detection of copy number variations (6) Prediction of outcomes from high-dimensional genomic data. Written by leading international experts, this is a collection of the most advanced work at the crossroads of probabilistic graphical models and genetics, genomics, and postgenomics. The self-contained chapters provide an enlightened account of the pros and cons of applying these powerful techniques.