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J Invest Dermatol. 2017 Sep;137(9):e163-e168. doi: 10.1016/j.jid.2017.07.095.

Research Techniques Made Simple: Bioinformatics for Genome-Scale Biology.

Author information

1
The Dermatology Centre, Salford Royal NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK. Electronic address: Amy.foulkes@manchester.ac.uk.
2
William Harvey Research Institute, Centre for Translational Bioinformatics, Barts and The London School of Medicine and Dentistry, Charterhouse Square, London, UK.
3
The Dermatology Centre, Salford Royal NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
4
European Molecular Biology Laboratory, Heidelberg, Germany.

Abstract

High-throughput biology presents unique opportunities and challenges for dermatological research. Drawing on a small handful of exemplary studies, we review some of the major lessons of these new technologies. We caution against several common errors and introduce helpful statistical concepts that may be unfamiliar to researchers without experience in bioinformatics. We recommend specific software tools that can aid dermatologists at varying levels of computational literacy, including platforms with command line and graphical user interfaces. The future of dermatology lies in integrative research, in which clinicians, laboratory scientists, and data analysts come together to plan, execute, and publish their work in open forums that promote critical discussion and reproducibility. In this article, we offer guidelines that we hope will steer researchers toward best practices for this new and dynamic era of data intensive dermatology.

PMID:
28843296
DOI:
10.1016/j.jid.2017.07.095
[Indexed for MEDLINE]
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