MyFX: A turn-key software for laboratory desktops to analyze spatial patterns of gene expression in Drosophila embryos

Ivan Montiel, Charlotte Konikoff, Bremen Braun, Mary Packard, Sian L. Gramates, Qian Sun, Jieping Ye, Sudhir Kumar

Research output: Contribution to journalArticlepeer-review

Abstract

Summary: Spatial patterns of gene expression are of key importance in understanding developmental networks. Using in situ hybridization, many laboratories are generating images to describe these spatial patterns and to test biological hypotheses. To facilitate such analyses, we have developed biologist-centric software (myFX) that contains computational methods to automatically process and analyze images depicting embryonic gene expression in the fruit fly Drosophila melanogaster. It facilitates creating digital descriptions of spatial patterns in images and enables measurements of pattern similarity and visualization of expression across genes and developmental stages. myFX interacts directly with the online FlyExpress database, which allows users to search thousands of existing patterns to find co-expressed genes by image comparison.

Original languageEnglish (US)
Pages (from-to)1319-1321
Number of pages3
JournalBioinformatics
Volume30
Issue number9
DOIs
StatePublished - May 1 2014

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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