Overview of the Tools for Microarray Analysis

Transcription Profiling, DNA Chips, and Differential Display
  • Jeffrey A. Kramer
Chapter

Abstract

In the infancy of the computer revolution of the 1960s, Moore’ s law, which stated that personal computer speeds would double every 18–24 mo, was coined. A similar law of genomic data could be stated today. The genomic revolution has changed the way that molecular biology is carried out and has necessitated a brand new field of scientific endeavor, bioinformatics. With the increasing number of whole genome sequences being completed, including the recent reports of the completion of the human genome sequence and that of the mouse, it is becoming increasingly possible to study the effects of multiple perturbations on several complex and interconnected gene-signaling pathways. As molecular biology moves to this systems approach to understanding the complex control mechanisms mediating growth, development, and differentiation, the amount of data generated is staggering. Bioinformatics is, among other things, the science of building novel approaches and new tools capable of sorting through vast quantities of genomic data and enabling molecular biologists to draw meaningful conclusions from their data.

Keywords

Microarray Data Perfect Match Oligo Array Transcription Profile cDNA Array 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Suggested Readings

  1. Kohonen, T. (1995) Self-Organizing Maps, Springer, NY.CrossRefGoogle Scholar
  2. Zolman, J. (1993) Biostatistics and Experimental Design, Oxford University Press, New York, NY.Google Scholar

Copyright information

© Springer Science+Business Media New York 2003

Authors and Affiliations

  • Jeffrey A. Kramer

There are no affiliations available

Personalised recommendations