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A clinician's guide to omics resources in dermatology
Brent J Doolan1, John A McGrath1, Alexandros Onoufriadis1
1St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, UK.
Clinical and Experimental Dermatology
|February 1, 2022
Summary
Omics technologies like genomics and proteomics offer insights into biological systems and diseases. This review identifies key online databases to help researchers navigate complex omics data in dermatology.
Area of Science:
- Biotechnology and Bioinformatics
- Genomic Medicine
- Dermatology
Background:
- High-throughput technologies enable large-scale biological data analysis using omics methodologies.
- Omics approaches (genomics, transcriptomics, proteomics, etc.) provide a systems biology perspective, identify biomarkers, and interpret molecular interactions.
- Accessing and comparing data from numerous online omics datasets is challenging for researchers.
Purpose of the Study:
- To review current online repositories and databases relevant to dermatological research.
- To evaluate the application and clinical relevance of these databases in dermatology.
- To provide a comprehensive overview of omics data resources for clinicians and scientists.
Main Methods:
- An extensive review of online platforms used in dermatology research was conducted.
- Resources for genetic disease information, patient-researcher connection platforms, variant interpretation, and genome/DNA databases were collected.
- Omics data repositories and resources were systematically gathered.
Main Results:
- Identified and cataloged various online resources for omics data in dermatology.
- Evaluated the utility of these databases for clinical practice and research.
- Provided a structured overview of available data repositories.
Conclusions:
- A comprehensive guide to relevant databases is presented, aiding navigation of omics data in dermatology.
- Facilitates the use of omics data for improved understanding and treatment of skin diseases.
- Supports clinicians and scientists in leveraging genomic and other omics data effectively.
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