Suitable for advanced undergraduates & postgraduates, this book provides a definitive guide to bioinformatics. It takes a conceptual approach & guides the reader from first principles through to an understanding of the computational techniques & the key algorithms.
Author: Marketa J. Zvelebil,Jeremy O. Baum
Publisher: Garland Science
Facts101 is your complete guide to Understanding Bioinformatics. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.
Author: CTI Reviews
Publisher: Cram101 Textbook Reviews
Für Studierende und Wissenschaftler der Lebenswissenschaften schafft dieses Buch einen schnellen, strukturierten Zugang zur Angewandten Bioinformatik ohne Programmierkenntnisse oder tiefgehende Informatikkenntnisse vorauszusetzen. Es bietet eine Einführung in die tägliche Anwendung der vielfältigen bioinformatischen Werkzeuge und gibt einen ersten Überblick über das sehr komplexe Fachgebiet. Die Kontrolle des vermittelten Stoffs wird durch Übungsbeispiele mit Lösungen gewährleistet. Ein Glossar der zugrundeliegenden Fachtermini sowie ein ausführliches Sachverzeichnis runden das Buch ab. Für die 2. Auflage wurde das Werk umfassend aktualisiert.
Author: Paul M. Selzer,Richard J. Marhöfer,Oliver Koch
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.
Understanding Bioinformatics: Genes to Proteins
Author: Noor Ahmad Shaik,Khalid Rehman Hakeem,Babajan Banaganapalli,Ramu Elango
One of the most pressing tasks in biotechnology today is to unlock the function of each of the thousands of new genes identified every day. Scientists do this by analyzing and interpreting proteins, which are considered the task force of a gene. This single source reference covers all aspects of proteins, explaining fundamentals, synthesizing the latest literature, and demonstrating the most important bioinformatics tools available today for protein analysis, interpretation and prediction. Students and researchers of biotechnology, bioinformatics, proteomics, protein engineering, biophysics, computational biology, molecular modeling, and drug design will find this a ready reference for staying current and productive in this fast evolving interdisciplinary field. Explains all aspects of proteins including sequence and structure analysis, prediction of protein structures, protein folding, protein stability, and protein interactions Presents a cohesive and accessible overview of the field, using illustrations to explain key concepts and detailed exercises for students.
From Sequence to Function
Author: M. Michael Gromiha
Publisher: Academic Press
Das grundlegende Werk von Darwin On the Origin of Species liegt hier in der originalen Übersetzung durch Julius Victor Carus vor, erweitert durch zahlreiche Erläuterungen, aussagekräftige Abbildungen sowie wichtige historische Bezüge. Die Entstehung der Arten von Darwin ist für die heutige Leserschaft häufig schwierig zu verstehen. Eine hilfreiche Unterstützung erfolgt durch die farbliche Hervorhebung entscheidender Textstellen und viele fachliche Erklärungen. Darwins Analysen und Bewertungen aus den Gebieten der Botanik, Zoologie, Verhaltenslehre, Paläontologie und Entwicklungsbiologie werden in acht Beiträgen namhafter Fachwissenschaftler im Licht der gegenwärtigen Forschung beleuchtet und so wird erst die ungeheure Bedeutung und Weitsicht seines Werkes offensichtlich. Endlich liegen jetzt die Übersetzungen der beiden ebenso bahnbrechenden Aufsätze von Alfred Russel Wallace vor: der Sarawak- und Ternate-Essay. Wallace war neben Darwin der bedeutendste Evolutionsforscher seiner Zeit. Seine Arbeiten zur Evolutionsbiologie, die im Angelsächsischen hoch geschätzt sind, können als durchaus gleichrangig zu Darwins berühmtester Schrift angesehen werden. Ulrich Kutschera eröffnet das Buch mit einem Geleitwort und Reinhold Leinfelder schließt es mit einem Ausblick zur Bedeutung der Evolutionstheorie für die Zukunft des Menschen ab. Das Buch ist daher nicht nur eine unverzichtbare Lernhilfe für Schüler und Studenten, die sich mit der Evolutionsbiologie beschäftigen, sondern zusätzlich auch eine spannende weiterführende Lektüre für alle Leser mit Interesse an Wissenschaftsgeschichte.
Die Entstehung der Arten
Author: Paul Wrede,Saskia Wrede
Publisher: John Wiley & Sons
Why do ideas of how mechanisms relate to causality and probability differ so much across the sciences? Can progress in understanding the tools of causal inference in some sciences lead to progress in others? This book tackles these questions and others concerning the use of causality in the sciences.
Author: Phyllis McKay Illari,Federica Russo,Jon Williamson
Publisher: Oxford University Press
"Bioinformatics: Concepts, Methodologies, Tools, and Applications highlights the area of bioinformatics and its impact over the medical community with its innovations that change how we recognize and care for illnesses"--Provided by publisher.
Concepts, Methodologies, Tools, and Applications
Author: Information Resources Management Association
Publisher: IGI Global
Thoroughly revised and updated, Exploring Bioinformatics: A Project-Based Approach, Second Edition is intended for an introductory course in bioinformatics at the undergraduate level. Through hands-on projects, students are introduced to current biological problems and then explore and develop bioinformatic solutions to these issues. Each chapter presents a key problem, provides basic biological concepts, introduces computational techniques to address the problem, and guides students through the use of existing web-based tools and software solutions. This progression prepares students to tackle the On-Your-Own Project, where they develop their own software solutions. Topics such as antibiotic resistance, genetic disease, and genome sequencing provide context and relevance to capture student interest.
Author: Caroline St. Clair,Jonathan E. Visick
Publisher: Jones & Bartlett Publishers
Category: Industrial productivity
Proceedings of the ... World Conference on Medical Informatics
Author: Marius Fieschi,Enrico Coiera,Yu-Chan Jack Li
Category: Medical informatics
As the field of bioinformatics grows, the progression of topics in the field reflects separate concerns for sequence data and structure data. This book presents key algorithms - some developed within the artificial intelligence community - and their applications to problems in structural biology and drug discovery.
an algorithmic approach
Author: F. J. Burkowski
Publisher: Chapman & Hall
Bioinformatics Is The Bridge Between Experimental Data In Diverse Biologically Related Disciplines And Extrapolation Of Information, By Computational Analysis, About How The Systems And Processes Function. The Central Aims Are : (I) Elucidation (By Experimental Methods) Of Structural Features Of The Biological Entities (Proteins, Nucleic Acids Etc.), (Ii) Application Of Computational Tools And Approaches To Study Of Information Content, Organization, And Processing In Biological Systems, (Iii) Application Of Medical And Health Data At The Molecular Level (Biomedinformatics), Annotation Of Structural And Chemical Characteristics In Molecular And Drug Design (Cheminformatics). Thus, It Requires Trans-Disciplinary Collaboration Between Biophysicists, Drug Chemists, Molecular Biologists, Biomedical And Computer-Aided Modeling Experts.Acquisition Of High-Throughput Biological Data (E.G. From The Genomic Projects) At Fast Rate Has Ushered In Computer-Intensive Data Analysis (In Silico Analysis). But, Considerable Algorithmic Complexity Of Biological Systems Requires A Vast Of Amount Of Detailed Information (Experimental And Computational) At The Cellular And Molecular Levels For Their Complete Description. Therefore, There Is A Need For Books In This Subject With Due Emphasis On Both Experimental As Well As Computational Aspects.With These Broad Objectives In Mind, The Material Contents Of This Book Are Organized Under-Molecular Biophysics, Experimental Methods Of Structure Elucidation, Database Search, Data Mining And Analysis, Computational Methods Of Structure Prediction, And Rational Molecular/Drug Design (Molecular Engineering) And Validation-, With Easy Interface Between These Areas And Various Chapters. Ample Tables And Figures Are Intended To Facilitate The Readers An Insight To The Structure-Function Features At The Molecular Level. Exercise Modules And Bibliography For Each Chapter, And Glossary Are Aimed At Providing The Reader Wider Perception And Insight To The Subject Matter, And Scientific And Technical Terms. Index Is Provided To Help An Easy Access To The Words And Topics To The Subject Matter.
Author: P. Narayanan
Publisher: New Age International
Bioinformatics is a relatively new field of research. It evolved from the requirement to process, characterize, and apply the information being produced by DNA sequencing technology. The production of DNA sequence data continues to grow exponentially. At the same time, improved bioinformatics such as faster DNA sequence search methods have been combined with increasingly powerful computer systems to process this information. Methods are being developed for the ever more detailed quantification of gene expression, providing an insight into the function of the newly discovered genes, while molecular genetic tools provide a link between these genes and heritable traits. Genetic tests are now available to determine the likelihood of suffering specific ailments and can predict how plant cultivars may respond to the environment. The steps in the translation of the genetic blueprint to the observed phenotype is being increasingly understood through proteome, metabolome and phenome analysis, all underpinned by advances in bioinformatics. Bioinformatics is becoming increasingly central to the study of biology, and a day at a computer can often save a year or more in the laboratory. The volume is intended for graduate-level biology students as well as researchers who wish to gain a better understanding of applied bioinformatics and who wish to use bioinformatics technologies to assist in their research. The volume would also be of value to bioinformatics developers, particularly those from a computing background, who would like to understand the application of computational tools for biological research. Each chapter would include a comprehensive introduction giving an overview of the fundamentals, aimed at introducing graduate students and researchers from diverse backgrounds to the field and bring them up-to-date on the current state of knowledge. To accommodate the broad range of topics in applied bioinformatics, chapters have been grouped into themes: gene and genome analysis, molecular genetic analysis, gene expression analysis, protein and proteome analysis, metabolome analysis, phenome data analysis, literature mining and bioinformatics tool development. Each chapter and theme provides an introduction to the biology behind the data describes the requirements for data processing and details some of the methods applied to the data to enhance biological understanding.
Tools and Applications
Author: David Edwards,Jason Stajich,David Hansen
Publisher: Springer Science & Business Media
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.
A Bioinformatics Primer for the Analysis of Genetic Data
Author: Michael R. Barnes
Publisher: John Wiley & Sons
This book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. It discusses how key cancer pathways can be analyzed and discovered to derive new insights into the disease and identifies diagnostic and prognostic markers for cancer. Chapters explain the basic cancer biology and how cancer develops, including the many potential survival routes. The examination of gene-expression patterns uncovers commonalities across multiple cancers and specific characteristics of individual cancer types. The authors also treat cancer as an evolving complex system, explore future case studies, and summarize the essential online data sources. Cancer Bioinformatics is designed for practitioners and researchers working in cancer research and bioinformatics. It is also suitable as a secondary textbook for advanced-level students studying computer science, biostatistics or biomedicine.
Author: Ying Xu,Juan Cui,David Puett
Bioinformatics is an evolving field that is gaining popularity due to genomics, proteomics and other high-throughput biological methods. The function of bioinformatic scientists includes biological data storage, retrieval and in silico analysis of the results from large-scale experiments. This requires a grasp of knowledge mining algorithms, a thorough understanding of biological knowledge base, and the logical relationship of entities that describe a process or the system. Bioinformatics researchers are required to be trained in multidisciplinary fields of biology, mathematics and computer science. Currently the requirements are satisfied by ad hoc researchers who have specific skills in biology or mathematics/computer science. But the learning curve is steep and the time required to communicate using domain specific terms is becoming a major bottle neck in scientific productivity. This workbook provides hands-on experience which has been lacking for qualified bioinformatics researchers.
A Concept-Based Introduction
Author: Venkatarajan Mathura,Pandjassarame Kangueane
Publisher: Springer Science & Business Media