Literature DB >> 28843296

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

Amy C Foulkes1, David S Watson2, Christopher E M Griffiths3, Richard B Warren3, Wolfgang Huber4, Michael R Barnes2.   

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.
Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2017        PMID: 28843296     DOI: 10.1016/j.jid.2017.07.095

Source DB:  PubMed          Journal:  J Invest Dermatol        ISSN: 0022-202X            Impact factor:   8.551


  4 in total

1.  A Framework for Multi-Omic Prediction of Treatment Response to Biologic Therapy for Psoriasis.

Authors:  Amy C Foulkes; David S Watson; Daniel F Carr; John G Kenny; Timothy Slidel; Richard Parslew; Munir Pirmohamed; Simon Anders; Nick J Reynolds; Christopher E M Griffiths; Richard B Warren; Michael R Barnes
Journal:  J Invest Dermatol       Date:  2018-07-17       Impact factor: 8.551

2.  Circular RNA expression and circPTPRM promotes proliferation and migration in hepatocellular carcinoma.

Authors:  Zhun Luo; Xuelan Mao; Wei Cui
Journal:  Med Oncol       Date:  2019-09-07       Impact factor: 3.064

Review 3.  Research Techniques Made Simple: Using Genome-Wide Association Studies to Understand Complex Cutaneous Disorders.

Authors:  Lam C Tsoi; Matthew T Patrick; James T Elder
Journal:  J Invest Dermatol       Date:  2018-03       Impact factor: 8.551

4.  Identification of potential key protein interaction networks of BK virus nephropathy in patients receiving kidney transplantation.

Authors:  Linpei Jia; Wenjing Fu; Rufu Jia; Leiyun Wu; Xiaoxia Li; Qiang Jia; Hongliang Zhang
Journal:  Sci Rep       Date:  2018-03-22       Impact factor: 4.379

  4 in total

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