Introduction:

Appyters are a collection of web-based software applications that enable users to execute bioinformatics workflows without coding. The Gene Expression T2D Signatures Appyter, offers researchers an opportunity to explore ways to modulate the expression of target genes based on signatures extracted from 119 gene expression studies of Type 2 diabetes and related metabolic disorders from the Gene Expression Omnibus (GEO). By querying a human or a mouse gene, the Gene Expression T2D Signatures Appyter returns interactive volcano plot visualization of signatures in which the given gene is maximally up- or down-regulated. The Gene Expression T2D Signature Appyter serves as a hypothesis generation tool for retrospective analyses of RNA-seq data for drug repurposing efforts and many other applications.

Appyters Tutorial: T2D Appyter - Gene-Centered Search Engine for Curated Diabetes Related Expression Signatures

This tutorial teaches you how to generate volcano plot visualization displaying human or mouse signatures for a gene of interest using the Gene Expression T2D Signatures Appyter.

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This is an external tutorial provided by Appyters. You will be directed to an external page for this tutorial.