Analyzing Gene Expression Imaging Data in Developmental Biology

Liangxiu Han*, Jano van Hemert, Ian Overton, Paolo Besana, Richard Baldock

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter describes the application of data-intensive methods to the automatic identification and annotation of gene expression patterns in the mouse embryo. The first section of the chapter introduces ideas behind modern computational and systems biology, how the explosion of data in the postgenomic world has led to new possibilities and even greater challenges. The second section talks about the particular computational biology problem and describes annotating images of gene expression with the right anatomical terms in depth. An automated solution based on data-intensive methods is discussed the third section. The final section looks ahead to the biological significance and systems biology application of these approaches and also describes a large-scale challenge and possible series of experiments with a novel data-intensive computational architecture.

Original languageEnglish
Title of host publicationThe DATA Bonanza
Subtitle of host publicationImproving Knowledge Discovery in Science, Engineering, and Business
PublisherJohn Wiley and Sons
Pages327-351
Number of pages25
ISBN (Print)9781118398647
DOIs
Publication statusPublished - 09 Apr 2013
Externally publishedYes

Keywords

  • Annotation of gene expression
  • Computational biology
  • Data-intensive computational architecture
  • Data-intensive methods

ASJC Scopus subject areas

  • Mathematics(all)
  • Computer Science(all)
  • Developmental Biology

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