Computational Biology: A Hypertextbook

ISBN-13: 9781683670025 / Angielski / Miękka / 2018 / 210 str.

Scott T. Kelley; Dennis Didulo

Opis

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.

Spis treści

Preface ixFor the Instructor xiFor the Student xiiiAcknowledgments xivAbout the Authors xvChapter -1 Getting Started 1Chapter 00 Introduction 5Activity 0.1: Biological Databases and Data Storage 20Chapter 01 BLAST 31Activity 1.1: BLAST Algorithm 36Chapter 02 Protein Analysis 47Activity 2.1: Hydrophobicity Plotting 52Activity 2.2: Protein Secondary Structure Prediction 58Chapter 03 Sequence Alignment 67Activity 3.1: Dynamic Programming 74Chapter 04 Patterns in the Data 91Activity 4.1: Protein Sequence Motifs 94Activity 4.2: Position-Specific Weight Matrices 102Chapter 05 RNA Structure Prediction 111Activity 5.1: RNA Structure Prediction 118Chapter 06 Phylogenetics 133Activity 6.1: Phylogenetic Analysis 140Chapter 07 Probability: All Mutations are not Equal (-ly Probable) 157Activity 7.1: Generating PAM and BLOSUM Substitution Matrices 163Chapter 08 Bioinformatics Programming: A Primer 179Index 191

O autorze

Scott T. Kelley 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.Dennis Didulo 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.