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In addition to the text based documentation here, additional information in other formats (video, slides) is available at https://umgear.org/manual.html.
The gene Expression Analysis Resource (gEAR) portal is a website for visualization and analysis of multiomic data both in public and private domains. The gEAR enables upload, visualization and analysis of bulk RNA sequencing, scRNA-seq data, and epigenetic data.
gEAR is under active development and we are continuously adding new features. If you need assistance with any issues or have suggestions, please contact our user helpdesk https://umgear.org/contact.html.
The gEAR is maintained by a team at the University of Maryland School of Medicine, and led by Dr. Ronna Hertzano and Joshua Orvis. The gEAR is supported by the NIDCD/NIH R01DC013817, R01DC019370, NIMH/NIH R24MH114815 and the Hearing Health Foundation (Hearing Restoration Project).
Profiles are gEAR's way of collecting together datasets around a similar topic. The gEAR team maintains a number of curated profiles but any user can create their own profile of datasets to explore. For example, the default profile (Hearing) contains 10 datasets that offer a broad overview of gene expression while other profiles may be devoted to specific organisms (e.g. Zebrafish) or collections of displays used in individual publications. Profiles can be created in the Dataset Explorer.
For more information on how to upload different types of data into gEAR, see our upload documentation. Currently gEAR supports the upload of:
- Bulk RNAseq data
- Single Cell sequencing data
- Epigenetic data (Through integration with EpiViz)