Computerbiologie: Ein Hyperlehrbuch, Kelley, Didulo 9781683670025 Neu +=-

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Computational Biology: A Hypertextbook, Kelley, Didulo 9781683670025 New+=
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PublishedOn
2018-01-01
Title
Computational Biology: A Hypertextbook
Artist
Not Specified
ISBN
9781683670025
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
ASM Press
ISBN-10
1683670027
ISBN-13
9781683670025
eBay Product ID (ePID)
240509207

Product Key Features

Number of Pages
210 Pages
Language
English
Publication Name
Computational Biology : a Hypertextbook
Subject
Life Sciences / Molecular Biology, Study & Teaching, Life Sciences / Biology
Publication Year
2018
Type
Textbook
Subject Area
Science
Author
Scott T. Kelley, Dennis Didulo
Series
Asm Bks.
Format
Trade Paperback

Dimensions

Item Height
0.4 in
Item Weight
18.4 Oz
Item Length
9.9 in
Item Width
7 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2017-051454
Dewey Edition
23
Reviews
Kelley and Didulo have weaponized bioinformatic education! As an undergraduate educator I am always looking for tools to help make the basic tenants of sequence data analysis understandable, and here it is! From standard BLAST to RNA structural alignments and probability analysis, this is a resource that every student of microbiome and molecular analysis should have. The balance between book and online material is well done, providing a framework to develop skills that a student can build upon.-Jack Gilbert, Faculty Director, The Microbiome Center; Professor, Department of Surgery, University of Chicago; Group Leader in Microbial Ecology, Argonne National Laboratory, Kelley and Didulo have weaponized bioinformatic education! As an undergraduate educator I am always looking for tools to help make the basic tenants of sequence data analysis understandable, and here it is! From standard BLAST to RNA structural alignments and probability analysis, this is a resource that every student of microbiome and molecular analysis should have. The balance between book and online material is well done, providing a framework to develop skills that a student can build upon.Jack Gilbert, Faculty Director, The Microbiome Center; Professor, Department of Surgery, University of Chicago; Group Leader in Microbial Ecology, Argonne National Laboratory
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
570.285
Table Of Content
Preface ix For the Instructor xi For the Student xiii Acknowledgments xiv About the Authors xv Chapter -1 Getting Started 1 Chapter 00 Introduction 5 Activity 0.1: Biological Databases and Data Storage 20 Chapter 01 BLAST 31 Activity 1.1: BLAST Algorithm 36 Chapter 02 Protein Analysis 47 Activity 2.1: Hydrophobicity Plotting 52 Activity 2.2: Protein Secondary Structure Prediction 58 Chapter 03 Sequence Alignment 67 Activity 3.1: Dynamic Programming 74 Chapter 04 Patterns in the Data 91 Activity 4.1: Protein Sequence Motifs 94 Activity 4.2: Position-Specific Weight Matrices 102 Chapter 05 RNA Structure Prediction 111 Activity 5.1: RNA Structure Prediction 118 Chapter 06 Phylogenetics 133 Activity 6.1: Phylogenetic Analysis 140 Chapter 07 Probability: All Mutations are not Equal (-ly Probable) 157 Activity 7.1: Generating PAM and BLOSUM Substitution Matrices 163 Chapter 08 Bioinformatics Programming: A Primer 179 Index 191
Synopsis
An introduction to the world of bioinformatics. Massive increases in computing power and the ability to routinely sequence whole genomes of living organisms have begun to fundamentally alter our understanding of biology, medicine, and agriculture., This textbook is for anyone who needs to learn the basics of bioinformatics--the use of computational methods to better understand biological systems. Computational Biology covers the principles and applications of the computational methods used to study DNA, RNA, and proteins, including using biological databases such as NCBI and UniProt; performing BLAST, sequence alignments, and structural predictions; and creating phylogenetic trees. It includes a primer that can be used as a jumping off point for learning computer programming for bioinformatics. This text can be used as a self-study guide, as a course focused on computational methods in biology/bioinformatics, or to supplement general courses that touch on topics included within the book. Computational Biology's robust interactive online components "gamify" the study of bioinformatics, allowing the reader to practice randomly generated problems on their own time to build confidence and skill and gain practical real-world experience. The online component also assures that the content being taught is up to date and accurately reflects the ever-changing landscape of bioinformatics web-based programs., An introduction to the world of bioinformatics Massive increases in computing power and the ability to routinely sequence whole genomes of living organisms have begun to fundamentally alter our understanding of biology, medicine, and agriculture. At the intersection of the growing information and genomics revolutions sits bioinformatics, which uses modern computational power to reveal patterns in biological data sets, especially DNA, RNA, and protein sequences. Computational Biology: A Hypertextbook , by Scott Kelley and Dennis Didulo, provides a wonderful introduction for anyone who wants to learn the basics of bioinformatics. This book is more than a textbook because of the wealth of online ancillary materials and how the print and electronic components are integrated to form a complete educational resource. Aspects that make Computational Biology: A Hypertextbook a unique and valuable tool for teaching and learning bioinformatics include Clear explanations of the basic biology of DNA, RNA, and proteins and how the related bioinformatics algorithms work Extensive exercises that enable students to practice with the same bioinformatics applications that are used by scientists worldwide Tutorials, sample data sets, and interactive learning tools developed with teachers in mind and field-tested by hundreds of students Online tutorials and curated web links that are accurate (instead of frustrating ) and won't lead to dead ends Online resources that work on multiple platforms and electronic devices Computational Biology: A Hypertextbook is written in an accessible voice, punctuated with humor, and designed to significantly increase computational competencies. Biology and computer science undergraduate and graduate students will thoroughly enjoy learning from this unique hypertextbook, as will anyone with an interest in exploring this burgeoning topic.
LC Classification Number
QH324.2.K45 2018

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