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Research Techniques Made Simple: Bioinformatics for Genome-Scale Biology.
Amy C Foulkes1, David S Watson2, Christopher E M Griffiths1
1The Dermatology Centre, Salford Royal NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
The Journal of Investigative Dermatology
|August 28, 2017
Summary
High-throughput biology offers new avenues for dermatological research. This review guides researchers on leveraging these advanced technologies and statistical concepts for data-intensive dermatology, promoting best practices.
Area of Science:
- Dermatology
- Bioinformatics
- Computational Biology
Background:
- High-throughput biology presents significant opportunities and challenges for dermatological research.
- Emerging technologies require new approaches to data analysis and interpretation in dermatology.
Purpose of the Study:
- To review key lessons from high-throughput biology in dermatological research.
- To identify and caution against common errors in applying these technologies.
- To introduce essential statistical concepts and software tools for dermatologists.
Main Methods:
- Review of exemplary studies utilizing high-throughput biology in dermatology.
- Discussion of statistical concepts relevant to bioinformatics.
- Recommendation of computational software tools for varying user expertise.
Main Results:
- Identification of major lessons learned from applying high-throughput technologies.
- Highlighting of common pitfalls and errors in data analysis.
- Guidance on selecting appropriate bioinformatics software.
Conclusions:
- Integrative research involving clinicians, scientists, and data analysts is crucial for the future of dermatology.
- Adoption of best practices in data-intensive research will advance the field.
- Open forums for discussion and reproducibility are essential for progress.
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