DIGITtally—a new tool for streamlining and simplifying Drosophila melanogaster meta-analysis
Andrew Gillen, Shannon Keenan, Maiken Skov, Mehwish Akram, Shireen A Davies, Julian A T Dow

TL;DR
DIGITtally is a new online tool that simplifies combining and analyzing Drosophila gene expression data from multiple sources.
Contribution
The tool enables hypothesis-free meta-analysis and cross-species comparisons of tissue-specific gene activity in Drosophila.
Findings
DIGITtally integrates 10 data sources for seven indicators of tissue-specific gene activity.
The tool confirmed a specific vacuolar-type ATPase gene expression pattern in epithelial tissues of the Drosophila alimentary canal.
It supports analysis of gene expression related to epithelial tissue transport functions.
Abstract
Drosophila melanogaster has one of the deepest research bases within the life sciences, with a wealth of high-quality tissue- and cell type-specific transcriptomic data available. However, integrating large datasets derived from disparate sources is not trivial. We have designed a broadly applicable solution to this problem in the form of the Drosophila Interesting Genes in Individual Tissues-tally (DIGITtally) system. It is freely available online at www.digittally.org. DIGITtally is customizable and hypothesis-free, allowing meta-analysis across the Drosophila research space along with analysis of conservation in other species, querying 10 data sources for seven indicators of tissue-specific activity. We have applied DIGITtally to a pertinent question within entomology—that is, whether a specific pattern of gene expression underlies the transporting activity of epithelial tissues (an…
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Taxonomy
TopicsNeurobiology and Insect Physiology Research · Invertebrate Immune Response Mechanisms · Physiological and biochemical adaptations
