Bioinformatics For Dummies (For Dummies (Math & Science))

were You Always Curious About Biology But Were Afraid To Sit Through Long Hours Of Dense Reading? Did You Like The Subject When You Were In High School But Had Other Plans After You Graduated? Now You Can Explore The Human Genome And Analyze Dna Without Ever Leaving Your Desktop! bioinformatics For Dummies Is Packed With Valuable Information That Introduces You To This Exciting New Discipline. This Easy-to-follow Guide Leads You Step By Step Through Every Bioinformatics Task That Can Be Done Over The Internet. Forget Long Equations, Computer-geek Gibberish, And Installing Bulky Programs That Slow Down Your Computer. You’ll Be Amazed At All The Things You Can Accomplish Just By Logging On And Following These Trusty Directions. You Get The Tools You Need To: analyze All Types Of Sequences use All Types Of Databases work With Dna And Protein Sequences conduct Similarity Searches build A Multiple Sequence Alignment edit And Publish Alignments visualize Protein 3-d Structures construct Phylogenetic Trees This Up-to-date Second Edition Includes Newly Created And Popular Databases And Internet Programs As Well As Multiple New Genomes. It Provides Tips For Using Servers And Places To Seek Resources To Find Out About What’s Going On In The Bioinformatics World. bioinformatics For Dummies Will Show You How To Get The Most Out Of Your Pc And The Right Web Tools So You’ll Be Searching Databases And Analyzing Sequences Like A Pro! Cover 1 Contents at a Glance 12 Part I: Getting Started in Bioinformatics 28 Chapter 1: Finding Out What Bioinformatics Can Do for You 30 Chapter 2: How Most People Use Bioinformatics 50 Part II: A Survival Guide to Bioinformatics 88 Chapter 3: Using Nucleotide Sequence Databases 90 Chapter 4: Using Protein and Specialized Sequence Databases 126 Chapter 5: Working with a Single DNA Sequence 150 Chapter 6: Working with a Single Protein Sequence 180 Part III: Becoming a Pro in Sequence Analysis 218 Chapter 7: Similarity Searches on Sequence Databases 220 Chapter 8: Comparing Two Sequences 256 Chapter 9: Building a Multiple Sequence Alignment 286 Chapter 10: Editing and Publishing Alignments 324 Part IV: Becoming a Specialist: AdvancedBioinformatics Techniques 348 Chapter 11: Working with Protein 3-D Structures 350 Chapter 12: Working with RNA 374 Chapter 13: Building Phylogenetic Trees 392 Part V: The Part of Tens 424 Chapter 14: The Ten (Okay, Twelve) Commandments for Using Servers 426 Chapter 15: Some Useful Bioinformatics Resources 432 Index 438 Introduction PART I: GETTING STARTED IN BIOINFORMATICS: Finding out what bioinformatics can do for you How most people use bioinformatics PART II: A SURVIVAL GUIDE TO BIOINFORMATICS: Using nucleotide sequence databases Using protein and specialized sequence databases Working with a single DNA sequence Working with a single protein sequence PART III: BECOMING A PRO IN SEQUENCE ANALYSIS: Similarity searches on sequence databases Comparing two sequences Building a multiple sequence alignment Editing and publishing alignments PART IV: BECOMING A SPECIALIST: ADVANCED BIOINFORMATICS TECHNIQUES: Working with protein 3-D structures Working with RNA Building phytogenetic trees PART V: THE PART OF TENS: The ten (okay, twelve) commandments for using servers Some useful bioinformatics resources. Get the most out of your PC and the Web with the right tools. Explore the human genome and analyze DNA - without leaving your desktop! All it takes is the basics of molecular biology and the wealth of information in this friendly guide. You'll discover the online tools and useful tips you need to ask the right questions, analyze sequences, and compare results. It's a plain-English introduction to the field! Discover how to: Do biological research online; Use gene-centric databases; Visualize proteins in 3-D; Interpret and analyze sequences; Produce and publish results. -- From back cover Written for professional and beginning graduate students in human health disciplines, this is a user-friendly and real data-based text which presents statistics as a way of thinking about ways to gather and analyze data so as to benefit from the required course