TY - JOUR
T1 - Research Techniques Made Simple
T2 - Bioinformatics for Genome-Scale Biology
AU - Foulkes, Amy C.
AU - Watson, David S.
AU - Griffiths, Christopher E.M.
AU - Warren, Richard B.
AU - Huber, Wolfgang
AU - Barnes, Michael R.
N1 - Funding Information:
ACF has received educational support to attend conferences from or acted as a consultant or speaker for Abbvie, Almirall, Eli Lilly, Leo Pharma, Novartis, Pfizer, Janssen, and UCB. CEMG has acted as a consultant and/or speaker for Abbvie, Janssen, Novartis, Sandoz, Rock Creek Pharma, Pfizer, Eli Lilly, UCB, Leo Pharma, Galderma, and Celgene. RBW has acted as a consultant and/or speaker for Abbvie, Amgen, Almirall, Boehringer, Medac, Eli Lilly, Janssen, Leo Pharma, Pfizer, Novartis, Sun Pharma, Valeant, Schering-Plough (now MSD), and Xenoport.
Funding Information:
This forms part of the research themes contributing to the translational research portfolio of Barts and the London Cardiovascular Biomedical Research Centre, which is supported and funded by the National Institute of Health Research.
Publisher Copyright:
© 2017 The Authors
PY - 2017/9
Y1 - 2017/9
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85028336809&partnerID=8YFLogxK
U2 - 10.1016/j.jid.2017.07.095
DO - 10.1016/j.jid.2017.07.095
M3 - Short survey
C2 - 28843296
AN - SCOPUS:85028336809
SN - 0022-202X
VL - 137
SP - e163-e168
JO - Journal of Investigative Dermatology
JF - Journal of Investigative Dermatology
IS - 9
ER -