Bioinformatics For Dummies

  • EDITOR John Wiley & Sons, Ltd.
  • NIVEL Divulgativo
  • STOCKSI
  • IDIOMAInglés
Códigos
  • ISBN 978-0-7645-1696-2
  • EAN 9780764516962
Colección
  • Colección -
  • Número -
Características
  • Encuadernado Rústica
  • Páginas 480
  • Largo 240
  • Ancho 190
  • Peso -
Edición
  • Fecha 15-01-2003
  • Número 1
  • Año 2003
Reseña
Bioinformatics – the process of searching biological databases, comparing sequences, examining protein structures, and researching biological questions with a computer – is one of the marvels of modern technology that can save you months of lab work. And the most amazing part is that, if you know how, you can use highly sophisticated programs over the Internet without paying a dime and sometimes, without installing anything new on your own computer. All you need to know is how to use these technological miracles.
That's where Bioinformatics For Dummies comes in. If you want to know what bioinformatics is all about and how to use it without wading through pages of computer gibberish or taking a course full of theory, this book has the answers in plain English. You'll find out how to

Use Internet resources
Understand bioinformatics jargon
Research biological databases
Locate the sequences you need
Perform specific tasks, step by step
Written by two experts who helped develop the science, Bioinformatics For Dummies is all about getting things done. If you're just getting your feet wet, start at the beginning with a quick review of those necessary parts of microbiology and an overview of the tools available. If you already know what you want to do, you can go directly to a chapter that shows you how. Get the lowdown on

Researching and analyzing DNA and protein sequences
Gathering information from all published sources
Searching databases for similar sequences and acquiring information about gene functions through sequence comparisons
Producing and editing multiple sequence comparisons for presentation
Predicting protein structures and RNA structures
Doing phylogenetic analysis

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