Bioinformatics
eBook - PDF

Bioinformatics

Methods Express

  1. 294 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Bioinformatics

Methods Express

About this book

Bioinformatics: Methods Express is unique. It is a book on bioinformatics that makes sense to non-bioinformaticians.
Bioinformatics: Methods Express helps you answer common questions such as:
*what else is similar to my gene?
*does this protein have any transmembrane regions?
*how do I visualize an alignment between these DNAs?
*where can I find specific transcription factor sequences?
The book provides the clear advice and explicit protocols that non-bioinformaticians need in order to understand what to do - and how to avoid common pitfalls. Each chapter guides you through the major databases and tools with worked examples - all accompanied by sample data files available online.
Topics covered include:
*data access
*sequence searches and alignments
*identification and annotation of features
*the transcriptome
*protein structure and function
*comparisons and phylogeny Bioinformatics: Methods Express is a comprehensive manual for all wet-bench scientists who need to use bioinformatics - from postgraduate student to principal investigator.www.scionpublishing.com/bioinformatics contains comprehensive datasets which allow the reader to practise the techniques described in the book.

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Yes, you can access Bioinformatics by Paul Dear in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biology. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Contents
  2. Color section
  3. Chapter 1: Database resources for wet-bench scientists
  4. Chapter 2: Navigating sequenced genomes
  5. Chapter 3: Sequence similarity searches
  6. Chapter 4: Gene prediction
  7. Chapter 5: prediction of noncoding transcripts
  8. Chapter 6: Finding regulatory elements in DNA
  9. Chapter 7: expressed sequence tags
  10. Chapter 8: protein structure, classification, and prediction
  11. Chapter 9: Gene ontology
  12. Chapter 10: prediction of protein function
  13. Chapter 11: Multiple sequence alignment
  14. Chapter 12: Inferring phylogenetic relationships
  15. Appendix: Additional useful bioinformatic
  16. Index