Introduction to Bioinformatics in Microbiology PDF Download
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Author: Henrik Christensen
Publisher: Springer
ISBN: 3319992805
Category : Science
Languages : en
Pages : 219
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Book Description
This textbook introduces to the basic concepts of bioinformatics and enhances students’ skills in using software and tools relevant for investigations in microbiology. The most relevant methods to analyze data are shown and readers are introduced on how to draw valid conclusions based on the results obtained. Software and servers which are free to use on the internet are presented and more advanced stand-alone programs are suggested as a second option. Exercises and training quizzes are provided at the end of each chapter to facilitate learning. The book targets Ph. D. students and advanced undergraduates in microbiology, biotechnology, and (veterinary) medicine with little to basic knowledge in bioinformatics.
Author: Henrik Christensen
Publisher: Springer
ISBN: 3319992805
Category : Science
Languages : en
Pages : 219
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Book Description
This textbook introduces to the basic concepts of bioinformatics and enhances students’ skills in using software and tools relevant for investigations in microbiology. The most relevant methods to analyze data are shown and readers are introduced on how to draw valid conclusions based on the results obtained. Software and servers which are free to use on the internet are presented and more advanced stand-alone programs are suggested as a second option. Exercises and training quizzes are provided at the end of each chapter to facilitate learning. The book targets Ph. D. students and advanced undergraduates in microbiology, biotechnology, and (veterinary) medicine with little to basic knowledge in bioinformatics.
Author: David Wayne Ussery
Publisher: Springer Science & Business Media
ISBN: 1848002548
Category : Science
Languages : en
Pages : 272
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Book Description
Overview and Goals This book describes how to visualize and compare bacterial genomes. Sequencing technologies are becoming so inexpensive that soon going for a cup of coffee will be more expensive than sequencing a bacterial genome. Thus, there is a very real and pressing need for high-throughput computational methods to compare hundreds and thousands of bacterial genomes. It is a long road from molecular biology to systems biology, and in a sense this text can be thought of as a path bridging these ? elds. The goal of this book is to p- vide a coherent set of tools and a methodological framework for starting with raw DNA sequences and producing fully annotated genome sequences, and then using these to build up and test models about groups of interacting organisms within an environment or ecological niche. Organization and Features The text is divided into four main parts: Introduction, Comparative Genomics, Transcriptomics and Proteomics, and ? nally Microbial Communities. The ? rst ? ve chapters are introductions of various sorts. Each of these chapters represents an introduction to a speci? c scienti? c ? eld, to bring all readers up to the same basic level before proceeding on to the methods of comparing genomes. First, a brief overview of molecular biology and of the concept of sequences as biological inf- mation are given.
Author: Teresa K. Attwood
Publisher: Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 244
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Book Description
Bioinformatics, the application of computers in biological sciences and especially analysis of biological sequence data, is becoming an essential tool in molecular biology as genome projects generate vast quantities of data. This text provides an introduction to the subject for undergraduates (final year), focussing on two key areas, genojmics and protein sequence analysis. It provides an overview of primary, composite and secondary databases, and gives a brief introduction to the Internet and the World Wide Web.
Author: Edward Curry
Publisher: CRC Press
ISBN: 1351015303
Category : Mathematics
Languages : en
Pages : 311
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Book Description
In biological research, the amount of data available to researchers has increased so much over recent years, it is becoming increasingly difficult to understand the current state of the art without some experience and understanding of data analytics and bioinformatics. An Introduction to Bioinformatics with R: A Practical Guide for Biologists leads the reader through the basics of computational analysis of data encountered in modern biological research. With no previous experience with statistics or programming required, readers will develop the ability to plan suitable analyses of biological datasets, and to use the R programming environment to perform these analyses. This is achieved through a series of case studies using R to answer research questions using molecular biology datasets. Broadly applicable statistical methods are explained, including linear and rank-based correlation, distance metrics and hierarchical clustering, hypothesis testing using linear regression, proportional hazards regression for survival data, and principal component analysis. These methods are then applied as appropriate throughout the case studies, illustrating how they can be used to answer research questions. Key Features: · Provides a practical course in computational data analysis suitable for students or researchers with no previous exposure to computer programming. · Describes in detail the theoretical basis for statistical analysis techniques used throughout the textbook, from basic principles · Presents walk-throughs of data analysis tasks using R and example datasets. All R commands are presented and explained in order to enable the reader to carry out these tasks themselves. · Uses outputs from a large range of molecular biology platforms including DNA methylation and genotyping microarrays; RNA-seq, genome sequencing, ChIP-seq and bisulphite sequencing; and high-throughput phenotypic screens. · Gives worked-out examples geared towards problems encountered in cancer research, which can also be applied across many areas of molecular biology and medical research. This book has been developed over years of training biological scientists and clinicians to analyse the large datasets available in their cancer research projects. It is appropriate for use as a textbook or as a practical book for biological scientists looking to gain bioinformatics skills.
Author: Stephen Misener
Publisher: Springer Science & Business Media
ISBN: 1592591922
Category : Science
Languages : en
Pages : 495
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Book Description
Computers have become an essential component of modern biology. They help to manage the vast and increasing amount of biological data and continue to play an integral role in the discovery of new biological relationships. This in silico approach to biology has helped to reshape the modern biological sciences. With the biological revolution now among us, it is imperative that each scientist develop and hone today’s bioinformatics skills, if only at a rudimentary level. Bioinformatics Methods and Protocols was conceived as part of the Methods in Molecular Biology series to meet this challenge and to provide the experienced user with useful tips and an up-to-date overview of current developments. It builds upon the foundation that was provided in the two-volume set published in 1994 entitled Computer Analysis of Sequence Data. We divided Bioinformatics Methods and Protocols into five parts, including a thorough survey of the basic sequence analysis software packages that are available at most institutions, as well as the design and implemen- tion of an essential introductory Bioinformatics course. In addition, we included sections describing specialized noncommercial software, databases, and other resources available as part of the World Wide Web and a stimul- ing discussion of some of the computational challenges biologists now face and likely future solutions.
Author: Arthur Lesk
Publisher:
ISBN: 0198794142
Category :
Languages : en
Pages : 433
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Book Description
The ideal text for biology students encountering bioinformatics for the first time, Introduction to Bioinformatics describes how recent technological advances in the field can be used as a powerful set of tools for receiving and analyzing biological data.
Author: Wiesława Widłak
Publisher: Springer
ISBN: 3642453619
Category : Computers
Languages : en
Pages : 159
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Book Description
Bioinformatics, which can be defined as the application of computer science and information technology to the field of biology and medicine, has been rapidly developing over the past few decades. It generates new knowledge as well as the computational tools to create that knowledge. Understanding the basic processes in living organisms is therefore indispensable for bioinformaticians. This book addresses beginners in molecular biology, especially computer scientists who would like to work as bioinformaticians. It presents basic processes in living organisms in a condensed manner. Additionally, principles of several high-throughput technologies in molecular biology, which need the assistance of bioinformaticians, are explained from a biological point of view. It is structured in the following 9 chapters: cells and viruses; protein structure and function; nucleic acids; DNA replication, mutations, and repair; transcription and posttranscriptional processes; synthesis and posttranslational modifications of proteins; cell division; cell signaling pathways; and high-throughput technologies in molecular biology.
Author: Perambur S Neelakanta
Publisher: World Scientific
ISBN: 9811212902
Category : Science
Languages : en
Pages : 684
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Book Description
This book on bioinformatics is designed as an introduction to the conventional details of genomics and proteomics as well as a practical comprehension text with an extended scope on the state-of-the-art bioinformatic details pertinent to next-generation sequencing, translational/clinical bioinformatics and vaccine-design related viral informatics.It includes four major sections: (i) An introduction to bioinformatics with a focus on the fundamentals of information-theory applied to biology/microbiology, with notes on bioinformatic resources, data bases, information networking and tools; (ii) a collection of annotations on the analytics of biomolecular sequences, with pertinent details presented on biomolecular informatics, pairwise and multiple sequences, viral sequence informatics, next-generation sequencing and translational/clinical bioinformatics; (iii) a novel section on cytogenetic and organelle bioinformatics explaining the entropy-theoretics of cellular structures and the underlying informatics of synteny correlations; and (iv) a comprehensive presentation on phylogeny and species informatics.The book is aimed at students, faculty and researchers in biology, health/medical sciences, veterinary/agricultural sciences, bioengineering, biotechnology and genetic engineering. It will be a useful companion for managerial personnel in the biotechnology and bioengineering industries as well as in health/medical science.
Author: Jeremy Ramsden
Publisher: Springer Science & Business Media
ISBN: 1848002572
Category : Science
Languages : en
Pages : 274
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Book Description
The field of bioinformatics continues to develop energetically. This second edition covers new findings using the formula of the original text. It is self-contained, bringing together the multiple disciplines necessary for a profound grasp of the field.
Author: Andreas D. Baxevanis
Publisher: John Wiley & Sons
ISBN: 0471461016
Category : Computers
Languages : en
Pages : 504
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Book Description
"In this book, Andy Baxevanis and Francis Ouellette . . . haveundertaken the difficult task of organizing the knowledge in thisfield in a logical progression and presenting it in a digestibleform. And they have done an excellent job. This fine text will makea major impact on biological research and, in turn, on progress inbiomedicine. We are all in their debt." —Eric Lander from the Foreword Reviews from the First Edition "...provides a broad overview of the basic tools for sequenceanalysis ... For biologists approaching this subject for the firsttime, it will be a very useful handbook to keep on the shelf afterthe first reading, close to the computer." —Nature Structural Biology "...should be in the personal library of any biologist who usesthe Internet for the analysis of DNA and protein sequencedata." —Science "...a wonderful primer designed to navigate the novice throughthe intricacies of in scripto analysis ... The accomplished genesearcher will also find this book a useful addition to theirlibrary ... an excellent reference to the principles ofbioinformatics." —Trends in Biochemical Sciences This new edition of the highly successful Bioinformatics:A Practical Guide to the Analysis of Genes and Proteinsprovides a sound foundation of basic concepts, with practicaldiscussions and comparisons of both computational tools anddatabases relevant to biological research. Equipping biologists with the modern tools necessary to solvepractical problems in sequence data analysis, the Second Editioncovers the broad spectrum of topics in bioinformatics, ranging fromInternet concepts to predictive algorithms used on sequence,structure, and expression data. With chapters written by experts inthe field, this up-to-date reference thoroughly covers vitalconcepts and is appropriate for both the novice and the experiencedpractitioner. Written in clear, simple language, the book isaccessible to users without an advanced mathematical or computerscience background. This new edition includes: All new end-of-chapter Web resources, bibliographies, andproblem sets Accompanying Web site containing the answers to the problems,as well as links to relevant Web resources New coverage of comparative genomics, large-scale genomeanalysis, sequence assembly, and expressed sequence tags A glossary of commonly used terms in bioinformatics andgenomics Bioinformatics: A Practical Guide to the Analysis of Genesand Proteins, Second Edition is essential reading forresearchers, instructors, and students of all levels in molecularbiology and bioinformatics, as well as for investigators involvedin genomics, positional cloning, clinical research, andcomputational biology.
