{"product_id":"computational-biology-isbn-9781683670025","title":"Computational Biology","description":"\u003cp\u003eThis textbook is for anyone who needs to learn the basics of bioinformatics—the use of computational methods to better understand biological systems. \u003ci\u003eComputational Biology\u003c\/i\u003e 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.\u003cbr\u003e\u003cbr\u003eThis 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.\u003c\/p\u003e \u003cp\u003ePreface ix\u003c\/p\u003e \u003cp\u003eFor the Instructor xi\u003c\/p\u003e \u003cp\u003eFor the Student xiii\u003c\/p\u003e \u003cp\u003eAcknowledgments xiv\u003c\/p\u003e \u003cp\u003eAbout the Authors xv\u003c\/p\u003e \u003cp\u003eChapter –1 Getting Started 1\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 00 Introduction 5\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eActivity 0.1: Biological Databases and Data Storage 20\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 01 BLAST 31\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eActivity 1.1: BLAST Algorithm 36\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 02 Protein Analysis 47\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eActivity 2.1: Hydrophobicity Plotting 52\u003c\/p\u003e \u003cp\u003eActivity 2.2: Protein Secondary Structure Prediction 58\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 03 Sequence Alignment 67\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eActivity 3.1: Dynamic Programming 74\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 04 Patterns in the Data 91\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eActivity 4.1: Protein Sequence Motifs 94\u003c\/p\u003e \u003cp\u003eActivity 4.2: Position-Specific Weight Matrices 102\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 05 RNA Structure Prediction 111\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eActivity 5.1: RNA Structure Prediction 118\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 06 Phylogenetics 133\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eActivity 6.1: Phylogenetic Analysis 140\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 07 Probability: All Mutations are not Equal (-ly Probable) 157\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eActivity 7.1: Generating PAM and BLOSUM Substitution Matrices 163\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 08 Bioinformatics Programming: A Primer 179\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIndex 191\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eScott T. Kelley\u003c\/b\u003e is a professor of biology at San Diego State University. He received his doctoral degree from the University of Colorado and his bachelor's degree from Cornell University. His lab uses phylogenetic methods and culture-independent molecular tools to study environmental microbiology, and Kelley has published extensively on the human microbiome, built environment, and numerous natural environments. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eDennis Didulo\u003c\/b\u003e is a data analytics and software engineer working at Becton, Dickinson and Company. He received his master's degree in information technology at De La Salle University and his second master's degree in bioinformatics at San Diego State University. He has development expertise in more than a dozen computer languages, as well as in database management, algorithm design, and systems engineering.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eComputational Biology\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eFirst Edition \u003c\/p\u003e\u003cp\u003e\u003ci\u003eAn introduction to the world of bioinformatics\u003c\/i\u003e  \u003c\/p\u003e\u003cp\u003eMassive 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. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eComputational Biology: A Hypertextbook\u003c\/i\u003e, 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 \u003ci\u003eComputational Biology: A Hypertextbook\u003c\/i\u003e a unique and valuable tool for teaching and learning bioinformatics include \u003c\/p\u003e\u003cli\u003eClear explanations of the basic biology of DNA, RNA, and proteins and how the related bioinformatics algorithms work\u003c\/li\u003e \u003cli\u003eExtensive exercises that enable students to practice with the same bioinformatics applications that are used by scientists worldwide\u003c\/li\u003e \u003cli\u003eTutorials, sample data sets, and interactive learning tools developed with teachers in mind and field-tested by hundreds of students\u003c\/li\u003e \u003cli\u003eOnline tutorials and curated web links that are accurate (instead of frustrating!) and won't lead to dead ends\u003c\/li\u003e \u003cli\u003eOnline resources that work on multiple platforms and electronic devices\u003c\/li\u003e \u003cp\u003e\u003ci\u003eComputational Biology: A Hypertextbook\u003c\/i\u003e 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.\u003c\/p\u003e","brand":"ASM Press","offers":[{"title":"Default Title","offer_id":47988964753637,"sku":"NP9781683670025","price":75.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781683670025.jpg?v=1761782235","url":"https:\/\/k12savings.com\/es\/products\/computational-biology-isbn-9781683670025","provider":"K12savings","version":"1.0","type":"link"}