http://dx.doi.org/10.7554/eLife.34613
This code is associated with the paper from Terry et al., "Transcriptional profiling reveals extraordinary diversity among skeletal muscle tissues". eLife, 2018.About MuscleDB
The Hughes (UMSL) and Esser (Univ. of Kentucky School of Medicine) labs are assembling a database of muscle tissue gene expression in mice. Our purpose is to survey the diversity of transcription in skeletal muscle (with exemplar smooth and cardiac muscles for comparison), and provide a resource for the field as a whole.
In this repository, we’re developing a web-based platform to explore, visualize, and share these data build on a Shiny dashboard.
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If you've noticed any technical errors or enhancements to this webpage, please submit an issue.
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If you want to help us understand which muscle types would be most useful to you, please vote for your preferred tissues here.
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If there are any compelling reasons you'd like us to consider your favorite tissues, please email [email protected]
This content can be shared and adapted for non-commercial purposes under a Creative Commons Attribution-NonCommercial 4.0 International License