Microarray Innovations: Technology and Experimentation (Drug Discovery)

by Gary Hardiman (Editor)

• New

  Paperback
  2019

  $82.09

  In recent years, high-density DNA microarrays have revolutionized biomedical research and drug discovery efforts by the pharmaceutical industry. Their efficacy in identifying and prioritizing drug targets based on their ability to confirm a large number of gene expression measurements in parallel has become a key element in drug discovery. Microarray Innovations: Technology and Experimentation examines the incredibly powerful nature of array technology and the ways in which it can be applied to understanding the genomic basis of disease.

  
  
  

  
  
  

  Explores a myriad of applications in use today

  
  
  

  This volume explores recent innovations in the microarray field and tracks the evolution of the major platforms currently used. The international panel of contributors presents a survey of the past five years' research and advancements in microarray methods and applications and their usage in drug discovery and biomedical research. The contributions discuss improvements in automation (array fabrication and hybridization), new substrates for printing arrays, platform comparisons and contrasts, experimental design, and data normalization and mining schemes. They also review epigenomic array studies, electronic microarrays, comparative genomic hybridization, microRNA arrays, and mutational analyzes. In addition, the book provides coverage of important clinical diagnostic arrays, protein arrays, and neuroscience applications.

  
  
  

  Examines improved methodologies

  
  
  

  
  
  

  As microarrays have evolved steadily over time from archetypical in-house complementary DNA (cDNA) arrays to robust commercial oligonucleotide platforms, there has been a migration to higher density biochips with increasing content and better analytical methodologies. This compendium summarizes the vast advances that have been made in this technology, highlighting the supreme advantages of microarray-based appro